Parse Email Survey PDF Responses
Budget / Salary₹12,500–37,500
TypeFreelance project
LocationRemote
Posted2 hours ago
I have a growing stack of email-based user surveys, each one sent back to me as a PDF attachment. I need every answer inside those PDFs pulled into a machine-readable form so I can run text analysis later.
Here is what I’m after:
• Download or receive the PDF attachments I will share over a secure folder
• Extract the full, verbatim text from each file (some are digitally generated, others may need light OCR) using any reliable toolset you prefer—Python + PyPDF2 / pdfplumber, Tesseract, or similar
• Organise the extracted content into a single UTF-8 text file or a clean CSV—one row per survey, one column per question
Acceptance criteria:
• 100 % of the PDFs processed; no missing pages
• Text must match the source wording character-for-character (no auto-corrections)
• File delivered ready for direct import into my analysis pipeline
If you have experience with large-scale PDF parsing or OCR quality control, this should be straightforward. Let me know your timeframe and the tools you plan to use, and I’ll share a small sample set so you can demonstrate accuracy before we proceed with the full batch.
Here is what I’m after:
• Download or receive the PDF attachments I will share over a secure folder
• Extract the full, verbatim text from each file (some are digitally generated, others may need light OCR) using any reliable toolset you prefer—Python + PyPDF2 / pdfplumber, Tesseract, or similar
• Organise the extracted content into a single UTF-8 text file or a clean CSV—one row per survey, one column per question
Acceptance criteria:
• 100 % of the PDFs processed; no missing pages
• Text must match the source wording character-for-character (no auto-corrections)
• File delivered ready for direct import into my analysis pipeline
If you have experience with large-scale PDF parsing or OCR quality control, this should be straightforward. Let me know your timeframe and the tools you plan to use, and I’ll share a small sample set so you can demonstrate accuracy before we proceed with the full batch.
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