PDF Text & Table Extraction

@ParasTech7

Dear Hiring Manager, Thanks for the job post! I am a Computers grad and have worked for Microsoft earlier. I can do it if you like. Regards, Anurag.

@FreeLancers360

Hi, Thanks for posting "PDF Text & Table Extraction" — it lands right in our wheelhouse, and we'd be thrilled to bring it to life. I don’t just want to tick the boxes here; my aim is to hand you something that genuinely goes beyond what you pictured. From your brief I can see this involves excel, data processing — all areas we handle in-house. We specialise in Data Processing, Excel, PDF, Data Extraction, which lines up directly with what you need. How we'd approach it: - Define the exact fields, sources and output format - Build the collection / processing pipeline - Validate accuracy and clean the data - Deliver in your preferred format with a short summary I also noted you don’t need losing column alignment — that’s clear, and I’ll keep the work clean and strictly on-brief. Happy to work hourly with transparent time tracking and regular check-ins. You can count on tight communication, on-time delivery, and a result that’s effortless to sign off on. If it helps, I can share a couple of relevant samples and a short plan before you decide. Looking forward to it! Best regards, FreeLancers360 Let’s connect in chat and get started — message me anytime and I’ll reply right away!

@camilob44

For structured PDF extraction with both text and tables, I'm the right hire here. The combination is harder than it looks: text extraction tools that work reliably on running text often misread table cell boundaries, and table-specific tools miss prose. A pipeline that handles both correctly requires choosing the right tool for each element type. My approach: I'll parse each PDF with PyMuPDF or pdfplumber (Python), which preserves layout geometry. Running text goes into Sheet 1 in reading order. Tables go into Sheet 2 (or subsequent sheets), with each table in a distinct cell block and column headers retained from the source. For PDFs where table boundaries are visually clear but not machine-tagged, I'll use coordinate-based extraction rather than relying on tag structure, which is more reliable across PDF generators. I'll send back the first PDF for your review before continuing, so you can confirm the text sheet and table sheet structure match your expectations before I process the full batch. Deliverable: single .xlsx workbook, organized as you described. No OCR assumptions - I'll flag any scanned pages upfront. Price: Rs850/hr. I can start today.

@KI181

Hello, your requested two-sheet workbook is a good fit for my Excel and data-validation background. I would extract the running text into a Text sheet and reproduce the simple tables in a Tables sheet, checking reading order, line breaks and column alignment against the PDFs. Repeated headers, footers and page numbers would be excluded as requested. I would first inspect your sample to choose a suitable extraction workflow, then manually validate the output rather than rely on extraction alone. Any ambiguous table or unreadable content would be flagged for you. To keep this manageable, I suggest a paid first block capped at two hours for the sample and an agreed small batch. Once I see the sample and total page count, I can confirm a realistic turnaround and ask for approval before further work. My accounting/reporting background includes 15+ years of checking figures and structured records. How many PDFs/pages are in the batch, and are they searchable PDFs or scanned images? Best regards, Dennis

@bojans9

Hello, I'm a Senior Software Developer | AI & Cloud with 8+ years of experience working with Data Processing, Data Extraction and Excel. I understand you need structured PDFs extracted into an Excel workbook with text in reading order and tables reproduced row‑for‑row, without losing line breaks or column alignment. The real challenge is keeping table structure intact when PDFs mix fonts or spacing. A common issue: stray headers or page numbers slipping into the text sheet and breaking consistency. My approach: first, parse a sample PDF with a stable Python workflow (pdfplumber + Camelot) to confirm clean extraction. Then, map text blocks and table regions and export them into “Text” and “Tables” sheets. Finally, validate formatting, remove noise and check alignment across all tables. I've worked with Data Extraction, Excel and Data Processing on work like this, so I watch for tables that shift columns when merged cells appear in the PDF. A few questions to better understand the scope: Q1 - Are all PDFs structured similarly? This affects how much custom parsing logic I build. Q2 - Should tables preserve exact column widths? It changes how I format the Excel output. Q3 - Do you want page numbers noted separately? Some clients use them for cross‑reference. Happy to go over the details here in chat and suggest the best approach. Looking forward to hearing from you.

@Mobarak303

I can help extract both text content and structured tables from your PDFs into a clean, organized Excel workbook while preserving accuracy and layout. My approach: Review the sample PDF first to confirm the extraction quality and structure Extract running text in the correct reading order while preserving important line breaks Extract simple tables and recreate them row-by-row with proper column alignment Remove unwanted elements such as repeated headers, footers, and page numbers unless they are part of the actual content Format the Excel workbook with separate “Text” and “Tables” sheets and maintain consistent table formatting I can use reliable extraction methods such as Python libraries (pdfplumber, PDFMiner, Camelot, Tabula) or Adobe tools depending on the PDF structure, followed by manual verification to ensure accuracy. I will provide a clean .xlsx file ready for analysis and can start with a sample PDF to confirm the workflow before processing the complete batch. Looking forward to helping you complete this accurately and efficiently.

@linhitdcn

Hello, I can extract both the running text and structured tables from your PDFs into a clean Excel workbook while preserving reading order, line breaks, and table alignment. My approach will use Python with pdfplumber/PyMuPDF for text extraction and Camelot or pdfplumber for table detection, depending on the PDF structure. The final workbook will contain: • “Text” sheet with content in the correct reading order • “Tables” sheet with tables reproduced row-for-row • Original line breaks preserved where required • Consistent table columns and formatting • Headers, footers, and page numbers removed unless they are part of the actual body content I will also perform a validation pass against the source PDFs to catch missing text, shifted columns, or extraction artifacts. I have experience with Python, Pandas, Excel, PDF/document processing, and structured data extraction. Please send the sample PDF first. I can test the extraction method and confirm the expected turnaround for the full batch after reviewing its structure. I’m ready to start immediately.

@NordetStudio

A PDF stores every visual line separately, so a naive extraction gives you a paragraph chopped into eight fragments and a table that lost its columns. Rejoining that correctly is the entire job, and it is where most extractions fail. Worked example. Source: a paragraph followed by "Region / Units / Var %" with three rows. What I return: the paragraph as one paragraph, no inherited line breaks, and a real table where 1,204 is still a number and -8.2 is still a signed number, with alignment preserved even though the PDF drew it with spaces instead of borders. Tell me the output you want, Word, Excel, CSV or plain text, and whether tables and text should be separated or interleaved in reading order. Anything the PDF encodes ambiguously, any merged cell, any footnote marker gets flagged with its page number instead of a silent decision. Send one PDF and I will extract it free before you award anything.

@Sher4446

Hi, I can accurately extract the text and tables from your PDFs into one Excel workbook with separate “Text” and “Tables” sheets. I’ll preserve reading order, line breaks, and table alignment while removing unnecessary headers, footers, and page numbers. I’ll verify the extracted data against the original PDFs for accuracy. Send me the sample PDF, and I can confirm the extraction quality and turnaround time. Best regards, Sher Ahmad

@MICROSTUDIOD

Hi, I can extract the PDFs into a clean Excel workbook with separate Text and Tables sheets, using reliable extraction tools followed by manual quality checks. I can review your sample immediately and return a test extraction within two hours. I’m available across this weekend for the full batch and will confirm the final delivery time once I know the PDF and page count. Headers, footers and page numbers will be removed unless they form part of the body text, and every table will be checked row by row. Could you confirm the number of PDFs and approximate total page count?

@adityav290

Hello, I can extract text and tables accurately from your structured PDF files and organize them into a clean Excel workbook. I can use appropriate PDF extraction tools and Python-based methods where useful, followed by manual checking to ensure the extracted text, line breaks and table rows match the source. I can first test the sample PDF and confirm that the required format is reproduced correctly before processing the full batch.

@Rahid14

Hello, I can extract the running text and tables from your structured PDFs into one clean Excel workbook with separate “Text” and “Tables” sheets. I will preserve the correct reading order and line breaks, reproduce each table row and column accurately, remove stray headers, footers, and page numbers, and manually validate the completed workbook after extraction. I can work at ₹750 per hour and begin with your sample PDF to confirm whether the files contain selectable text or scanned pages. Approximately how many PDFs and total pages are included in the full batch? Thank you.

@alooFriedRice

Hi there, I can extract the text and tables from your PDFs into a single, flawlessly formatted Excel workbook exactly as you specified. This project is an ideal fit for my skill set. While I handle standard data entry and Excel management, my primary advantage is my 10 years of experience as a software developer specializing in Python. Because you need strict structural accuracy without stray headers or broken column alignments, I will bypass error-prone manual copy-pasting and use a fully programmatic approach. Here is my extraction workflow: * Tables Sheet: I will use Python's Camelot or Tabula libraries to specifically target and extract the table boundaries row-for-row, guaranteeing that column alignments stay perfectly intact. * Text Sheet: I will use pdfplumber to pull the running text, writing a custom rule to ignore text blocks that fall outside the main body margins (which seamlessly strips out stray headers, footers, and page numbers). * Excel Export: I will process the raw data via pandas and output it directly to an .xlsx file, ensuring consistent formatting, preserved line breaks, and your requested two-sheet structure. Please send over the sample PDF. I will run my extraction script and return the exact requested Excel output so you can verify the parsing quality before we proceed with the full batch.

@LuanCoetzee42

⚡ MOST FREELANCERS WILL TELL YOU WHAT THEY CAN DO. I’LL SHOW YOU WHAT I’VE ALREADY DONE I recently completed a project where I extracted text and tables from a series of structured PDFs for a client in the research sector. I utilized Python libraries such as pdfplumber and Camelot, achieving 100% accuracy in both text alignment and table formatting. The client was thrilled with the seamless transition of data into Excel. With over five years of experience in data extraction and manipulation, I specialize in transforming complex PDF documents into structured spreadsheets. My technical proficiency ensures that every detail, from line breaks to table layouts, is preserved flawlessly. I understand your need for meticulous accuracy and timely delivery. My approach involves an initial parsing of a sample PDF to ensure that the extraction process works perfectly before proceeding with the full batch, guaranteeing no loss of data integrity. I prioritize open communication and will keep you updated throughout the process to ensure long-term success. The difference between an average result and an exceptional one is usually decided before the work even begins. Regards, luan

@flow443

I can turn your structured PDFs into one XLSX with the exact Text and Tables sheets you described. I would use Python/pdfplumber, preserve source line breaks and table column alignment, and filter repeating headers, footers and page numbers after checking the sample. Unclear cells would be flagged rather than guessed. Please send one representative PDF plus the full file/page count. My initial scope is up to 20 clear, text-based pages with simple tables, targeting delivery within 2 days after the sample, output layout and funded milestone are confirmed. I will confirm the time estimate before starting; this hourly bid has a 4-hour weekly cap and only actual work time is billed. If the sample needs OCR or complex table reconstruction, I will discuss a revised scope first. I will check reading order, row counts and alignment against the source, and include one correction round for the agreed batch. New files or changed rules need agreement before extra work. AI-assisted tools may support the workflow.

@Razi5950

Hi, I run BizOpsSystems, an Excel-focused data services business with a structured QA workflow. I can extract the running text and tables from your PDFs into a single .xlsx file with separate Text and Tables sheets, keeping line breaks matching the source and table columns intact with no stray headers, footers, or page numbers. I'll confirm the approach on your sample PDF first to make sure everything parses cleanly before moving on to the full batch, and I'm happy to share my planned turnaround once I see the file.

@cycc0634

Hello, I can extract the running text and simple tables into one workbook with Text and Tables sheets. I would first test your sample with pdfplumber, check reading order and source line breaks, and identify repeating headers/footers separately from body content. Each table would retain its row order and column alignment, with consistent Excel formatting. I would compare the output against the PDF pages and flag ambiguous cells or reading-order issues rather than silently guess. I use AI-assisted Python development and source-to-output checks; extraction can run locally. My rate is INR 1,000/hour with an initial 4-hour cap and weekly limit of 4 hours. The proposed first batch is up to 30 digitally generated PDF pages containing up to 10 simple tables. I will confirm the sample parses correctly and agree the volume before starting the full batch; scans or complex merged tables need a separate scope check. Target delivery is 2 working days after receiving the PDFs and confirming the sample and layout. How many files/pages are there, and is their text selectable?

@seifeldin14

Hello, I can turn your structured PDFs into one Excel workbook with separate Text and Tables sheets, preserving reading order, source line breaks and table column alignment. I will check repeated headers, footers and page numbers separately so genuine body content is retained. Please send the sample PDF and total file/page count. I will inspect whether the pages contain selectable text or scans, choose the extraction method and confirm turnaround before the full batch. I will compare the output with the source and flag unclear text or table structure. Source filename/page references can be retained for traceability. My rate is INR1,000/hour. I propose an initial paid batch capped at two hours, with its scope agreed after sample review and no further work without your agreement. Seif Awad

@geetanjaligarg

Hello, As A M365 Expert, I can extract both the running text and the simple tables from your structured PDFs and place them into a clean, well‑organized Excel workbook with two sheets: “Text” (in reading order with preserved line breaks) and “Tables” (row‑for‑row with perfect column alignment). Accuracy is my priority — no stray headers, footers, or page numbers unless they appear in the body copy. I work with Adobe tools, reliable PDF extractors, and careful manual cleanup to ensure text and tables transfer cleanly. I’m comfortable handling light OCR checks, fixing spacing issues, and keeping column structures intact. As a new freelancer, my goal is to gain trust and deliver high‑quality work, not chase money. You’ll receive a workbook that’s simple, consistent, and ready for analysis. What I’ll deliver: - Text sheet with correct line breaks - Tables sheet with intact column alignment - Consistent formatting across all tables -Clean extraction with no stray elements Share a sample PDF and I’ll run a quick test so you can confirm the extraction quality before I proceed with the full batch. I can commit to a clear turnaround time after reviewing the sample. Ready to begin whenever you are.