PDF Text & Image Extraction

@OutsourceMan

Hi, CnEL India can accurately extract the complete text and embedded images from your text-based PDF while preserving reading order and document structure. Our methodology: * Inspect the PDF structure to confirm it contains selectable digital text. * Extract all text in reading order while preserving paragraphs and meaningful spacing. * Ensure headers, footers and page-break information are handled according to the required output. * Extract every embedded image at its available/original resolution. * Name images using page number and position for easy reference. * Validate extracted text against the source PDF for missing or altered characters. * Check image count, resolution and page mapping for completeness. * Generate a clean UTF-8 TXT or DOCX output. * Organize all extracted images in a structured folder. * Test the final files for clean opening and readability on Windows and macOS. * Provide the completed files in an organized delivery package. We would first inspect the PDF structure, then perform extraction and validation to ensure the text and image set are complete before delivery.

@tangramua

Hello,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Python, Data Processing, Software Architecture, PDF, LaTeX, OCR, Data Extraction, Adobe Acrobat and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@shivansh121

I can do this task. Message me here.I am available here to discuss & start the work. I am looking forward to an early and positive response. Regards, Shalu

@pvsysgroupinc

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@teodorgeorge

Hi, I can extract the full text and embedded images from your text-based PDF into clean, usable deliverables with accuracy as the priority. My workflow will preserve the document’s reading order, paragraphs, headers, footers, and page-break content in a UTF-8 text file. I’ll separately export every embedded image at its available original resolution and use clear page-based filenames, such as page_003_image_01, for easy reference. I will verify the extracted text against the PDF to catch missing characters or misplaced sections, and check that the image set is complete. The final files will be organized to open cleanly on Windows and macOS. Deliverables will include the full UTF-8 .txt file, an organized image folder, and a simple file-naming reference if needed. I have experience with Python automation, structured data workflows, reporting, and documentation, including automated extraction and processing of data for reliable client deliverables. Before starting, I’d like to review the PDF structure and confirm whether any nonstandard embedded objects need separate handling. Best regards, Teo

@vishal1145

Your PDF extraction will fail if you rely on PyPDF2 alone—it strips formatting context and mangles multi-column layouts. You need a parser that preserves spatial coordinates so paragraphs don't merge incorrectly. Quick questions - are there any tables or multi-column sections that need layout preservation? And what's your timeline if the image count exceeds 500 files? Here's the architectural approach: - PYTHON: I'll use pdfplumber to extract text with spatial awareness, ensuring headers and footers stay intact while maintaining reading order across columns. - DATA EXTRACTION: Images will be ripped at native resolution using PyMuPDF, named as page_###_img_##.png with a JSON manifest mapping each file back to exact page coordinates. - DATA PROCESSING: Output will be UTF-8 .txt with zero encoding errors, tested on both Windows 11 and macOS to confirm cross-platform compatibility. I've built similar extraction pipelines for legal firms processing 10K+ page contracts where missing a single footnote meant compliance failure. Let's do a quick 10-minute call to confirm your layout edge cases before I start the build.

@helgekrueger

Hi. I can do this quickly in python, as long as no complications arise. What I will provide is: - Text as seen by python (through pymupdf), this usually works fine - Images appearing on each page, extracted from pdf - The script that does this, easily installable with uv This should be an hour of work. I'll have feedback before the hour is over if problems arise.

@dataspro

Nice to meet you ,The requirements of your project match my areas of work and skills, to introduce myself. My name is Anthony Muñoz and i am the lead engineer for DS Pro IT agency. I have worked for over 10 years as a Full-Stack and software development engineer and have successfully done multiple jobs. It will be a pleasure to work together to make your project. Feel free to discuss about the project with me, greetings.

@masiahm4

I’ll extract the PDF’s full text in reading order and export every embedded image at its original resolution, using page-and-position filenames so each asset is easy to trace. I’ll validate paragraph continuity, image completeness, UTF-8 output, and file readability on Windows and macOS. I have five years of experience building Python/JavaScript applications and automations, including web-scraping and data-entry workflows. For this project I’d use a direct digital extraction path suited to a text-based PDF, with a fallback parser where needed. My estimate assumes one unprotected, text-based PDF with no malformed object structure; OCR or reconstruction would be a scope change. Could you share the PDF or confirm its page count and approximate number of images so I can validate the estimate?

@AnjosGustavo

Hi, I’m Gustavo, a Senior Data Scientist / Full Stack Engineer with strong Python and document-processing experience. I can extract the complete text from your text-based PDF in reading order and deliver it as a clean UTF-8 TXT or DOCX, preserving paragraphs and carefully checking that no content is omitted. I can use PyMuPDF or comparable PDF tools to perform direct digital extraction without unnecessary OCR. PyMuPDF supports UTF-8 text extraction and direct embedded-image extraction. I’ll also extract every embedded image at its available original resolution and use a consistent naming scheme such as page_001_image_01, making each image easy to trace back to its source page and position. I’ll verify the image count and review the extracted files before delivery. My quality-control process is: extract → verify page-by-page → check text completeness → verify images → confirm filenames → final cross-platform review. I take high responsibility for accuracy. Credit and trust are extremely important to me, so I prioritize careful verification, clear communication, and reliable delivery. Best, Gustavo

@rimiloca

Hi, I can extract the text page by page into UTF-8 and save the embedded images at their original stored resolution. I will keep headers/footers, preserve page boundaries and check reading order, paragraph breaks and special characters against the PDF instead of relying on an unchecked export. Images will use a clear page-and-position naming scheme, with a simple index for repeated images or masks if needed. I will verify the file count and open the exported text/images before handing them over. My rate is $20/hour with an initial five-hour weekly cap; I can confirm the actual estimate after seeing the page count and sample pages. Is the document single-column or does it include multi-column layouts? No OCR is planned unless the sample shows a scanned section.

@Sasanka433

I can handle this as a small Python-based extraction workflow rather than manually copying content. Since the PDF is digitally generated, I can extract the text directly while preserving reading order, paragraph boundaries, headers/footers and page breaks, and separately export every embedded image at its original resolution. I’ll name the images systematically by page and sequence (for example page_003_img_02) so each can be traced back to the source. Before delivery I’ll validate the extracted text against the PDF and verify the image count/page mapping. My main background is Python and software automation, so I can also provide a short note explaining the extraction method if you need to repeat it later. I can start immediately.

@adriank06

The key challenge in PDF extraction is not reading text once, but preserving the correct reading order and reliably mapping every embedded image back to its original page context. I can build a clean extraction workflow that produces validated text output and complete image exports without losing document structure. I can handle the process with Python-based PDF parsing, including text extraction, image extraction, file naming rules, and output validation. The workflow will include clear error handling and documentation so the extraction can be repeated on similar PDFs. I will verify that the generated TXT/DOCX and image folder open correctly across Windows and macOS. Please share the PDF file and the expected output format so I can review the structure and start the extraction.

@nooralneami

Hi! I have experience with PDF text extraction, document conversion, data verification, and organized file handling. Since your PDF is text-based, I can extract the complete document directly without OCR, while preserving the reading order, paragraph structure, headers, footers, and page breaks as accurately as possible. I can also extract every embedded image at its original available resolution and save each one separately using a clear naming convention based on page number and image position. Before delivery, I’ll carefully review the extracted text and image set against the source PDF to make sure nothing is missing, duplicated, or out of order. I can deliver the text as a UTF-8 .txt or editable .docx file, together with a complete folder of extracted images that will open cleanly on both Windows and macOS. My rate is $15/hour, and I’m available for up to 5 hours per week.

@abhilashr53

I can deliver 'PDF Text & Image Extraction' end to end — clean architecture, tests, and deployment. I'll start with a short plan, share progress daily, and hand over production-ready code. Could you confirm your timeline and must-have features so I can lock the scope?

@diitesh

Extracting every character and embedded image from a text-based PDF without losing structure is exactly the kind of script work we ship at kamii.ai. We've built production PDF parsing pipelines (text + image streams) using PyMuPDF and pypdf for similar jobs - clean output, original-resolution images, predictable naming. Fast turnaround: 1-2 days depending on the file count. Quick question: roughly how many PDFs and pages, and do you want the text/image output in a specific folder structure or paired via a manifest JSON?

@aakaashberi

Hello, my profile covers Python and workflow automation. I can use that approach to extract your PDF into a UTF-8 text file and a page-mapped image folder, with the accuracy checks built into the process. At USD 15/hour, with a 10-hour weekly limit, I would start with a one-hour sample covering ordinary text and an image-heavy page. I will compare reading order, punctuation, paragraphs, headers, footers and explicit page breaks against the PDF before processing the rest. For images, I will extract embedded data at its native pixel dimensions, name files by page and placement, and include a manifest mapping repeated images to their pages. I will check every page for missing text or images and flag any font-encoding issues for correction rather than assuming automatic extraction is exact. For one text-based PDF up to 100 pages with a straightforward layout, my initial estimate is 3-8 hours over two business days after receiving the file; I will refine that after the sample before further work. Delivery includes the complete TXT, images, manifest and one correction round. Please confirm the page count and whether the text uses columns or unusual fonts. The first phase is the sample and agreed output format, followed by extraction and verification.

@veerakiat

Hi there, I can convert your PDFs into editable Word documents while keeping the original layout completely intact. I previously built a custom OCR system to extract and convert complex financial bills into Word. Because financial records require absolute zero-error precision, I am highly experienced in ensuring that every font, table, spacing, and page break exactly mirrors the source file. I’m happy to process a sample page for free so you can see the pixel-perfect quality for yourself. Best regards, Veerakiat

@edgardop86

Hi, ensuring exact character capture and image extraction with logical naming is a clear priority here. I'll use Python to precisely extract all text and images, maintaining original resolution and mapping images back to their page number. My work on complex data handling for TryReplify has prepared me for this kind of accuracy. This approach guarantees clean, usable files on Windows and macOS.