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Subject: Requirement for Group-Wise Billing TDL & Packing List via 2D Barcode Hi, I am looking for a quotation for a custom TDL in Tally Prime to handle jewelry billing via 2D QR scans. The Workflow & Requirements: I will scan a QR code into the Sales Voucher. The scanner outputs a string like this: 207428//SF2ST709464AB1A/2.67//JHI200/N/A I do NOT want standard line-by-line item entry on the billing UI. I need the TDL to extract the labor rate from the string (the number after "JHI", in this case, 200). I have already written the TDL function for this extraction and included it at the bottom of this email to save your developer time. The Sales Voucher UI must dynamically auto-group the scanned items based on that extracted labor rate (e.g., "Making Charge 150",...

I have up to five PDF files that contain structured financial tables—balance-sheet style figures, quarterly summaries, and similar line-item data. I need every table lifted cleanly from each document and placed into Excel (.xlsx) so the numbers can be filtered, summed, and charted right away. Accuracy is critical: every row, column heading, currency symbol, and negative value must match the source. Please keep each original table on a separate sheet and preserve any sub-totals or notes that appear inside the table area. If a PDF holds multiple tables, name the sheets intuitively so I can find them quickly. You’re free to use Adobe Acrobat, Tabula, Camelot, Python + pandas, or any reliable extraction tool you prefer, as long as the final workbook opens flawlessly in recent...

I have a single company’s financial statements archived as PDFs and I need clear, data-driven answers to two questions: how has the firm’s revenue grown over time, and what has happened to its profit margin along the way? The task starts with converting the PDF tables into a workable dataset, cleaning any OCR or formatting issues, and structuring the numbers so year-on-year trends are reliable. From there, I want descriptive statistics, visualisations that highlight revenue as well as gross and net profit, and a concise narrative explaining the drivers behind any major shifts you uncover. Please use whichever toolchain you are most comfortable with—Python (pandas, tabula, Camelot), R (tidyverse), or even Power BI/Excel—as long as the extraction is accurate and t...

I have a digital PDF whose text can be fully selected and copied. I need every piece of that text moved into a clean, well-structured Excel workbook. The spreadsheet should follow the order of the PDF, with each logical field placed in its own column so the data can be sorted and filtered later. Accuracy is vital, so please watch for hidden line breaks, extra spaces, or characters that may paste oddly. No OCR or re-typing is necessary—simple copy-paste combined with basic Excel clean-up (find/replace, text-to-columns, Power Query if you like) should do the job. Deliverables • One .xlsx file containing all PDF text, organized into clearly labeled columns and rows • A short note flagging any sections that could not be copied exactly as found in the PDF The PDF is rea...

I have a collection of PDF files that contain tabular data I need organised cleanly in an Excel workbook. The task is straightforward: locate every table inside each PDF, transfer the information into Excel, and preserve the original row-and-column structure so formulas or pivot tables can be applied immediately after import. Accuracy is more important than speed; numbers, dates, and text labels must match the source exactly, and headers should be kept intact. If any table spans multiple PDF pages, please merge it seamlessly in the spreadsheet. I will provide the PDFs and indicate the preferred sheet order once the project starts, and I’m happy to review a sample file first to confirm the layout before you proceed with the rest. Final deliverable: a single .xlsx file containing one...

I have a set of PDFs that contain plain text only—no tables or images—and I need every word moved accurately into an Excel workbook. All I’m after is a clean, line-for-line transfer so the content can be filtered and analysed later. Here’s what you’ll do: open each PDF, capture every piece of text exactly as it appears, and paste it into the appropriate Excel columns or rows without introducing extra spaces, line breaks, or formatting glitches. No data interpretation or re-typing of tables is required because the files contain text blocks only. Deliverable • One Excel file that mirrors the complete text from all supplied PDFs, ready for immediate use. When you respond, briefly outline your experience handling PDF-to-Excel work—just enough to sh...

I need an end-to-end AI solution that can ingest incoming invoices, pull out key information with at least 95 % accuracy, rename each file intelligently, and store everything in an organised folder structure (or another storage layer you recommend). Input formats are varied—PDFs, JPEG/PNG photos taken on phones, and scanned documents—so the pipeline has to be format-agnostic. My initial thought is a machine-learning-driven extractor that combines OCR with layout analysis, but I’m happy to hear alternative strategies if they boost reliability or speed. Here is the data I must capture on every invoice: • Supplier name • ABN • Invoice number • PO number • Invoice date • Total amount and GST • Line-item stock details (quantity,...

I need a reliable script that pulls profile-level data from a website that presents its users in listing form. The site shows one profile per detail page; I want a scraper that moves through the listings automatically, opens each profile, and extracts the information I later specify (think names, contact details, background facts, social links—the exact fields can be configured once the basic framework is in place). Key points you should know before you jump in: • The target site uses pagination and a few dynamic elements, so the scraper must cope with lazy-loaded content and possible JavaScript rendering. • Output should land in an easily reusable format such as CSV or JSON, with clean column headers. • I’d like the code written in Python and organised so I...

Using , I need a comprehensive extraction of data for 100 separate locations. For every single day of the week I want the raw numbers for foot traffic and dwell time pulled, then organised in one clear Excel workbook. Inside that same workbook please add a concise summary section for each site that shows: • Average foot traffic • Average dwell time • Peak traffic hours Label everything intuitively—location name, date, day of week—and keep formulas visible so I can audit or update the figures later. If you already have scripts or a repeatable workflow; speed and accuracy are both important.

I will send you a batch of PDF or plain-text source files that contain a mix of words and numbers. Your task is to key every piece of information into a clean Excel spreadsheet, grouping the entries logically by category or type so the file is easy to filter and analyse later. Absolute accuracy is essential: please double-check spelling, numerical values, column alignment, and any required formatting before you hand the file back. If you run into fields that are illegible or ambiguous, mark them clearly in a separate colour or with a simple comment so I can review them quickly. Deliverable • One fully populated Excel workbook, neatly organised by category/type, with any uncertain items visibly highlighted. Once I confirm the data is complete and consistent, the project is done. Let...

The project involves automating the retrieval, processing and integration of expert responses and PDF reports. Depending on the case, this information may be retrieved directly from automotive assessment portals or received by email, potentially as a PDF attachment. Current process A pro forma invoice is created and added to the relevant case on a portal. Twice a day, it is necessary to check whether a response or report is available, either directly on the assessment portal or potentially in an email inbox. When a report is available, the following steps must be completed: - open the relevant case; - open the PDF assessment report from the portal or email; - identify the amount approved by the expert; - compare it with the amount on the pro forma invoice; - download the report; - uplo...

I have a backlog of invoices, receipts and bank statements, all supplied as searchable and non-searchable PDFs. From each document I only need two categories of information pulled out: • the dates and amounts that appear on every page • the full itemised lines (description, quantity, unit price, line total) Customer names or addresses are not required this time, so the workflow can stay tightly focused on these data points. Ideally you will set up an OCR pipeline—Tesseract, ABBYY FlexiCapture, Amazon Textract, or a custom Python script with OpenCV—anything you are comfortable with that gets reliable accuracy. The final output should land in a neatly structured CSV or Excel workbook that I can import straight into my accounting software. Acceptance criteria &...

I'm looking for an experienced developer to write clean, modular Python source code to extract public product, image, and seller data from Amazon (global), MercadoLibre (LATAM), Instagram, Facebook, Vinted, and TikTok. I'm looking for the source code only—I will run and schedule the scrapers independently in my own environment. Technical Scope: Data: Extract public facts only (product titles, prices, images, seller details, public engagement metrics). Compliance & Ethics: Non-login methods only. No password gate bypassing, no private PII harvesting, and respectful request pacing. Anti-Bot Resilience: Dynamic headers, user-agent rotation, proxy/VPN support, and modular selectors for easy updates when site layouts change. Delivery: Well-documented Python code delive...

I have a collection of scanned documents that need to be transcribed accurately into a pre-formatted Excel sheet. This is straightforward Excel data entry—no formulas, just clear, error-free text transfer. Every line of text from the scans must go into the correct column I will specify so that the file is ready for sorting and filtering once you hand it back. Because the material arrives as images, solid experience reading and typing from scanned sources (think fast, accurate “captcha-style” typing) is essential. Consistency in spelling, punctuation, and spacing matters; I will be spot-checking against the originals. You will receive: • PDF batches (roughly 30–40 pages each) • An Excel template with named columns On delivery I expect: • A single ...

I need help transferring a large set of mixed data—text and numbers—into one clean master file. The material arrives from two places: a batch of digital files and a couple of online databases to which I will grant read-only access. Inside the download folder you will find Excel spreadsheets, PDF documents, and Word files, each holding portions of the information. I will supply a template spreadsheet that shows the exact column order, data-type notes, and sample rows. Your job is to: • Extract every required field from each source without altering spelling, number formatting, or date style • Populate the template accurately and completely • Flag any unclear or missing values for quick clarification • Return the finished master file along with a short ...

I have a series of PDFs laid out in clear tables and column structures, and I need every piece of text plus the accompanying images moved into the matching sections of my website. The site is already fully configured to accept this data, so you’ll be working directly inside its CMS—no setup work required on your end. Accuracy is critical: the table hierarchy, column order, and any headings must be preserved exactly as they appear in the source files. Images should be uploaded at original resolution, assigned to the correct spots, and given sensible filenames and alt-text pulled from the surrounding copy. Deliverables • All PDF text entered into the designated website fields, retaining table or column alignment. • All images uploaded and placed correctly with...

I have a collection of PDFs and I need every piece of text pulled out and neatly organized in Excel. The files aren’t consistent—some pages follow clear headings, others read more like free-form notes—so I’m looking for someone comfortable interpreting whatever structure shows up and still producing a clean, well-labeled spreadsheet. Here’s what I expect: • Accurate extraction of all text only (no images or tables). • Smart categorization into separate Excel columns that reflect the key information in each document rather than simply mirroring the PDF layout. • A single .xlsx file returned for each batch, ready for filtering and analysis. I’m fine with whichever approach you prefer—Python with libraries such as PyPDF2, Tabula, ...

# Financial Statement Data Extraction Specialist – 800+ Scanned PDFs I am looking for an experienced **Data Extraction / OCR / Data Engineering specialist** to extract financial data from approximately **800 phone-scanned financial statements** for academic research. The documents cover **multiple companies and multiple years**, and the final output must be structured as a **panel dataset in Excel** using the template I provide. ### Pilot Test I have uploaded **5 financial statements as a pilot sample**. The freelancer should extract the pilot documents into my Excel template exactly as the full project would be processed. The pilot will be used to evaluate the extraction method and accuracy before awarding the full project. ### What Must Be Extracted For each company/year: ...

I have a batch of scanned bank statements that must be run through OCR and parsed so I receive clean, structured JSON containing only the account-holder information (name, address, account number and any other clearly labeled personal identifiers that appear on the statements). Accuracy and consistency are critical. I will verify the JSON against the original PDFs, so the output must match every field exactly as it appears, without spelling mistakes or truncation. Feel free to employ any combination of Tesseract, ABBYY FineReader, AWS Textract, or another OCR engine that can handle mixed fonts and occasional background noise—use whatever delivers the best character recognition rate. Deliverables • A single JSON file per statement, named to match the original document &bull...

I have a collection of Excel and CSV files that contain strictly numeric information. Your job is to open each file, transfer the numbers exactly as they appear into the template I provide, and save the completed sheet in the same format. Accuracy is critical—I’ll be spot-checking totals and cell positions—so you’ll need good command of Excel or Google Sheets functions such as copy-paste-special, basic formulas, and quick validation tricks. I’ll share a concise set of column-by-column instructions plus a small sample first; once that’s approved, you can move on to the full batch. The final deliverable is the populated template returned with every value verified and any irregularities noted in a separate comments tab. If you’re comfortable wit...

I have to confirm whether an individual was present at a specific property on a set of past dates and times. I will provide the exact address and the precise timestamps privately once we begin. What I need from you: • Secure and extract historical GPS logs from a Lexus vehicle for those dates. • Combine phone number data with timestamps to analyze presence at the specified address. • Analyze two distinct time frames for this data. • Possibly retrieve messages (text or in-car messaging) from the same phone number after GPS analysis is completed. I do not currently have access to the Lexus Enform account or any onboard data, so guidance and technical work to obtain the logs is essential. If alternative methods—such as data recovery from the head unit, ...

Looking for an Indian Web Scraper, Data Scraper, Email Marketing Specialist, and Data Analyst Needed For Quality Lead Generation - The project price can be increased for experienced freelancers. # Project Overview I am looking for an experienced **Web Scraper / Data Scraper / Email Marketing Specialist / Data Analyst** who can help with an ongoing data-generation and marketing project. The ideal candidate should be comfortable working with large datasets, extracting accurate business/contact information from publicly available sources, cleaning and organizing the data, and using the resulting database for compliant email marketing and performance analysis. This can become a **long-term project** for the right freelancer. ## Key Responsibilities ### 1. Web & Data Scraping * Scra...

Hi, I’m looking for a developer to build a reliable product scraper for Allegro.pl. The scraper should be able to collect product data at scale, including: Product name Price Product URL Images Seller information Availability Category Other relevant product details The solution should be robust, scalable, and minimize the risk of IP bans or request blocking by using appropriate request rates, caching, retries, and other legitimate scraping best practices. Please let me know if you have experience with large-scale web scraping and anti-bot protected websites, and provide examples of similar projects you have completed.

I need a reliable professional to pull both text and numerical information from several online databases and enter it into the template I provide. The task is straightforward but demands great attention to detail, correct formatting, and consistent naming conventions so I can import the final file directly into our internal system without additional cleanup. You’ll receive: • A link set and login credentials for each database • A brief field-by-field guide showing how the finished sheet should look You’ll return one completed spreadsheet, fully verified for duplicates and obvious anomalies. Please tell me about projects where you handled similar mixed data extraction and entry, especially if online sources were involved. Experience with Excel or Google Shee...

I have a growing catalogue of products that must be kept up-to-date in Excel and Google Sheets. All of the information—SKUs, names, short descriptions, prices, and dimensions—comes from company-supplied documents, and every one of those documents is a PDF. Document source: • PDFs only Your task is to open each PDF, extract the relevant product details, and insert or update them in the master spreadsheet while following the column structure I will share. Accuracy is critical: any typo in a SKU or price flows straight through to the website, so I need someone who naturally double-checks their work, balances quantities, and keeps formats consistent across sheets. Deliverables: • A fully populated, cleaned spreadsheet (Excel or Google Sheets, your choice) containing ev...

I have a batch of PDFs that all share the same form-style layout. Each file contains text fields—names, dates, IDs, a handful of numeric values—and I need every field copied accurately into an Excel workbook. Because the structure never changes from one PDF to the next, the task can be fully automated; I am open to Python (PyPDF2, pdfplumber, Camelot), VBA, or any other reliable tool you prefer, as long as the end result is a clean .xlsx file with one row per PDF and clearly labeled columns matching every original field. Deliverables • A script or repeatable workflow that reads each PDF and exports the data. • An initial run showing at least 10 sample PDFs mapped correctly in Excel. • Brief instructions so I can rerun the extraction when new files arrive. ...

**Amazon Laptop Web Scraping & Data Extraction** Developed a Python-based web scraping project to collect laptop product information from Amazon search results and convert unstructured HTML data into a structured dataset. **Key work performed:** • Automated Amazon search-page navigation using Selenium WebDriver • Scraped laptop listings across multiple search-result pages • Collected and saved **438 product HTML containers** for further processing • Parsed HTML content using BeautifulSoup • Extracted product information including **model name, price, rating, and available offers** • Implemented handling for missing values using `"N/A"` • Combined scraped records into a Pandas DataFrame • Exported the final structured dataset to CSV f...

I have access to met office data for weather balloon but I don't know how to extract the data. If you have worked with weather balloon data before please tell me where or how? Do you have jobs for this on your profile? Where can I actually see proof of the work? I will pay $25 as this such be super simple to anyone that knows what they are doing. So ALL I want from you is PROOF you have done this kind of job before. DO not mention anything else in your application.

I have multiple spreadsheets that hold product details scattered across different tabs and formats. I need every relevant field pulled out, cleaned up, and placed into a single, well-structured Excel or CSV file so I can quickly look up any item when I’m updating our customer listings. The task is straightforward: • Open each provided spreadsheet. • Locate all rows that contain product information—names, SKUs, descriptions, prices, and any other columns that appear consistently. • Copy those details into a master sheet, keeping column headings uniform and removing duplicates or obvious errors. Completion will be accepted when I receive the consolidated file, error-free and ready for immediate upload into our system.

A batch of multi-page PDF files needs to become a clean, analysis-ready Excel workbook. Each text element—whether it appears as straight digital text or inside a scanned image—has to land in the correct cell so the spreadsheet mirrors the logical flow of the original documents. The job is straightforward but accuracy is critical: no dropped characters, no shifted columns, no merged cells where they don’t belong. I’m happy for you to use any reliable method—Python (tabula-py, camelot, pdfplumber), Power Query, Acrobat automation, ABBYY FineReader OCR, or a manual approach—so long as the end result is an .xlsx file I can filter and pivot without cleanup. Deliverables • One Excel workbook containing every record from the supplied PDFs, organised ...

I want to reach surgeons in the United States with a short 3-email series. I need someone who can: 1) find/create a reasonably vetted list of email addresses for MD's that are surgeons (any specialty). 2) Create and manage a series of 3 emails to send to them. Ideally we would A/B test two different message sets and see which gets the better response.

I have a PDF that consists purely of tables—no text paragraphs or images. There are fewer than ten individual tables, and I’d like each one transferred into a clean Excel workbook using standard Excel formatting (headers in the first row, consistent column widths, and basic number/text recognition—nothing custom or complex). Accuracy is crucial; I need the data captured exactly as shown, with rows and columns preserved so the sheet is ready for basic analysis the moment I open it. Please return a single .xlsx file containing all tables on separate worksheets or in one sheet if they fit logically together; whichever approach keeps the layout clear and easy to work with.

Microsoft Power Automate Desktop – Medicare Eligibility Web Automation I am looking for someone experienced with Microsoft Power Automate Desktop (PAD) and browser/web automation to build a simple attended automation for my medical practice. Objective Automate a repetitive Medicare eligibility lookup performed through the NGSConnex/NGS Medicare provider website. This should be an attended desktop automation running locally on a Windows PC. I am not looking for an unattended cloud bot or an AI agent. Desired Workflow User starts the Power Automate Desktop flow. The flow opens the NGS Medicare/NGSConnex website in Microsoft Edge. The user handles login and multifactor authentication manually. After successful login, the automation continues. The automation navigates to the Medicar...

I have a collection of digital PDFs with embedded text that contain both narrative paragraphs and structured tables. I need every word and every cell transferred accurately into an Excel workbook, while keeping the original table layouts intact. Please place the contents of each source file on its own worksheet and name the tab after the corresponding PDF, so it’s easy for me to trace where the data came from later. Narrative text can sit above the tables or directly below them—whichever keeps the sheet clear and readable—as long as nothing is omitted. Deliverables • One .xlsx file with a separate, clearly-named sheet for every PDF • All tables reproduced with the same column order and headings • All non-table text included and legible • No...

A batch of multi-page PDF files needs to become a clean, analysis-ready Excel workbook. Each text element—whether it appears as straight digital text or inside a scanned image—has to land in the correct cell so the spreadsheet mirrors the logical flow of the original documents. The job is straightforward but accuracy is critical: no dropped characters, no shifted columns, no merged cells where they don’t belong. I’m happy for you to use any reliable method—Python (tabula-py, camelot, pdfplumber), Power Query, Acrobat automation, ABBYY FineReader OCR, or a manual approach—so long as the end result is an .xlsx file I can filter and pivot without cleanup. Deliverables • One Excel workbook containing every record from the supplied PDFs, organised ...

Comparto una selfie y necesito un informe completo de todos los lugares en Internet donde mi rostro aparezca. 1. Ejecuta búsquedas de imagen inversa en: • Google • TinEye • Bing 2. Incluye también la revisión en redes sociales; en este caso solo requiero Instagram. 3. Para cada coincidencia, entrega: • Enlace directo a la página o publicación. • Breve descripción del contexto (sitio, fecha aproximada, tipo de contenido). El resultado puede entregarse en un documento o una hoja de cálculo, siempre que los enlaces sean totalmente clicables. La información es confidencial, así que agradezco trato discreto y un trabajo minucioso que no deje posibles coincidencias sin revi...

I need a Python 3 script that uses Selenium (ChromeDriver) to visit one or more dynamic web pages, wait for their tables to finish rendering, and export the complete content to a clean CSV (JSON as a secondary option). The pages rely on JavaScript pagination and lazy loading, so simple HTTP libraries won’t work—reliable browser automation is essential. Key points of the job • Employ explicit waits to ensure every row, even those revealed by “Next” buttons or infinite scroll, is captured. • Keep column headers intact and map each cell accurately. • Handle common hurdles such as cookie pop-ups, login prompts (if I supply credentials), and unexpected client-side alerts. • Write clear, modular code with comments so I can tweak selectors or e...

I have a backlog of printed books and supporting documents that must be digitised. Your main task is to key every relevant detail from these printed sources into a clean, well-structured spreadsheet while maintaining absolute accuracy. Alongside the typing work, several of the titles come with PDF versions; from these, I only need the images and illustrations pulled out, saved as high-quality files, and linked back to their corresponding spreadsheet rows. Please work with any standard spreadsheet tool (Excel or Google Sheets is fine) and deliver the cropped images in an organised folder structure that mirrors the book/document names. When you finish, I expect: • A single spreadsheet containing the digitised text data for each book or document. • Separate image folders, eac...

(PLEASE PROVIDE EVIDENCE OF THE WORK YOU HAVE DONE IN THE PAST ) I am looking for an experienced PS4 / Windows developer to work on a PC-side utility for: Call of Duty: Black Ops II – PS4 – CUSA57548 The goal is to develop and test a Windows PC utility for handling the game’s multiplayer/profile data in an authorized testing environment. Required functionality includes: * Read and display multiplayer/profile data * Prestige and Level/Rank controls * Prestige Master / Level 55 * Unlock-related profile controls * Camos/colors and agreed unlock values * Reliable profile data read/write * Verify that changes are correctly reflected in-game * Simple Windows GUI * Source code and documentation Preferred Developer I strongl...

I have a batch of PDFs that contain structured text—names, addresses, reference numbers, short paragraphs—that all need to be captured in an Excel workbook. The job is purely text-based; no numeric calculations or formulas are involved. Each PDF follows the same layout, so once you understand the pattern, the transfer should move quickly. What I need from you: • Open each PDF and copy the required text fields into the corresponding Excel columns I will provide. • Keep original spelling, punctuation, and line breaks where applicable. • Double-check every entry for accuracy and completeness before you mark the file as done. All documents are digital and fully searchable, so no OCR is required. The finished spreadsheet should be clean, neatly aligned, and re...

I have several PDFs that contain financial data laid out in large tables running over multiple pages. Your task is to extract every row and column accurately and place them into a clean spreadsheet—Excel or Google Sheets is fine. The key requirement is data integrity: every figure, label, and subtotal must carry over exactly as it appears in the source. Because the original layout spans consecutive pages, some tables will need to be re-assembled so they read continuously in the sheet. I am not concerned about recreating cell colours, borders, or text styling; plain, well-structured data is what matters here. Deliverables • One spreadsheet file with separate tabs (or clearly labelled sections) for each original table. • All numeric values double-checked against the PD...

I need a small utility that logs in to our UserTesting account each morning, pulls the latest session data, extracts only the user feedback section, and turns it into a clear, one-page summary. The summary should then be delivered automatically to a Slack channel (or email, if that is easier to start with). Core requirements • Collect fresh data once every 24 hours. • Filter out everything except user feedback. • Produce a succinct, readable digest—no individual comments or charts, just the key take-aways. • Schedule the job so it runs without manual intervention. • Include a simple configuration file for credentials and timing. Nice-to-have (but not required right now) – Option to add performance metrics or graphical representations later...

I'm looking for an AI agent to automate the extraction and organization of operational data for billing purposes. The data is stored in Google Sheets on Google Drive. Key Requirements: - Extract monthly usage data from Google Sheets - Organize data by customer name - Prepare data needed for monthly billing Ideal Skills and Experience: - Proficiency in AI development - Experience with Google Sheets and Google Drive integration - Strong data extraction and organization skills - Familiarity with billing processes

I have several Excel workbooks that contain well-structured tables of text and numbers. I need every row copied out of those source sheets and entered into a new master spreadsheet that I will supply. Accuracy is essential: totals, dates, and any descriptive text must be transferred exactly as they appear. Please keep the same column order I provide and double-check for typos or misplaced values before sending the file back. A quick spot-check on your side—sum formulas matching the originals, identical row counts, and uniform formatting—will help both of us move fast. I will share the source Excel files together with a blank template once we start. When you return the completed master sheet I will review it for consistency against the originals; if everything balances, the ...

Project Title: Senior Data Acquisition & Document Intelligence Engineer We are looking for a highly experienced Senior Data Acquisition & Document Intelligence Engineer to build, operate, and continuously improve a large-scale production data acquisition and document processing system. Project Type: Long-term / Ongoing Engagement: Full-time Experience Required: 5+ years Location: On-site / Hybrid About the Project We collect large volumes of publicly available documents and structured records from hundreds of external web sources every day. The sources are highly inconsistent and frequently change their website structure, formats, URLs, APIs, and document layouts. A significant portion of the data also comes from scanned PDFs, images, and other difficult-to-process documents. ...

I need the financial tables contained in a set of PDFs copied into Google Sheets so I can run my own analysis. Accuracy is critical: every figure, header, subtotal, and note must match the source, and the row / column structure should look exactly as it does in the PDFs. In other words, keep the original formatting—no normalization, no re-ordering, no stylistic tweaks—just a faithful reproduction that I can later pivot, filter, or chart. The PDFs hold standard financial data (income statements, balance sheets, cash-flow schedules). Most files are text-based, but a few pages may require OCR; whichever extraction method you prefer is fine as long as the final numbers reconcile. Deliverables • One Google Sheets file with a separate tab for each PDF table • Clean ...

I want to put the entire accounts-payable flow on autopilot with a machine-learning core. Bills arrive as scanned documents; from there the system must: Deliverables • Accurately capture every header and line-item field from the scan, ready for export. • Run a true three-way match—quantity ordered vs. received vs. billed, price on PO vs. invoice, and SKU identity. • Apply tolerance-based rules so routine matches move straight to auto-approval. • Trigger landed-cost allocation and the corresponding GL postings the moment an invoice clears. • Route anything outside tolerance to an exception inbox that is already triaged into price variance, quantity variance, missing PO, suspected duplicate, or missing receipt. Acceptance criteria Data-capture accurac...

I want to put the entire accounts-payable flow on autopilot with a machine-learning core. Bills arrive as scanned documents; from there the system must: Deliverables • Accurately capture every header and line-item field from the scan, ready for export. • Run a true three-way match—quantity ordered vs. received vs. billed, price on PO vs. invoice, and SKU identity. • Apply tolerance-based rules so routine matches move straight to auto-approval. • Trigger landed-cost allocation and the corresponding GL postings the moment an invoice clears. • Route anything outside tolerance to an exception inbox that is already triaged into price variance, quantity variance, missing PO, suspected duplicate, or missing receipt. Acceptance criteria Data-capture accurac...

I need to scrape data from a dealer locator. The information required includes: - Dealer name and location - Contact details The final output should be delivered in an Excel sheet. This is a one-time scrape, so no need for ongoing updates. Ideal skills and experience: - Proficiency in web scraping tools and techniques - Experience in data organization and Excel - Attention to detail to ensure accuracy of scraped data