PDF batch process

Contract, report, invoice —— hundreds PDF one command done

PDF nightmare

Hundreds of PDF manual process, copy table totally messy, scan files cannot search

Boss say "compile all contract date and amount from these 200 PDF into one sheet". You open first one, find date, copy, switch to Excel, paste. Open second one... finish half day only 40 files, still 160 left. Start doubt life.

Table in PDF worse. Look neat, one copy —— all stuck together. Column mismatch, number and text mixed, format gone. Spend more time fix format than manual input.

Also scan files. Customer send bunch scanned PDF invoice, text cannot select, search more no way. Can only stare at screen type digit by digit manual. Type finish find third invoice amount read wrong, gotta re-check.

OpenClaw batch PDF process: extract, merge, recognize one-stop

OpenClaw can solve three headache things about PDF:

1. Batch information extraction —— tell it "extract date, amount, party A from these contracts", hundreds PDF auto scan through, result output as table direct.
2. Table recognition —— table in PDF recognize convert to Excel, column align, number is number, text is text, no need manual format fix.
3. OCR recognition —— scan files also can process. After recognize text, can search, can extract, can translate.

200 contract info extraction? Before take three day, now one command, come back sip coffee done already.

3 PDF process Prompt, copy can use

Info extraction, OCR convert, batch merge —— most common PDF operation fully cover.

Batch extract contract key info Golden instruction
Extract from 50 PDF contract in this folder:

Need extract fields:
1. Contract number
2. Sign date
3. Contract amount (with currency)
4. Party A name
5. Party B name
6. Contract period (start-end date)
7. Payment term (if have)

Output format:
- Generate table, one contract per row
- If certain field not found in contract, mark "not found"
- Final summary: total contracts, total amount, earliest/latest sign date

Note: some contract is scan file (image PDF), need OCR recognize first then extract.
Most common case for lawyer, legal, procurement. This Prompt list what need extract very clear, AI not gonna miss. If your contract have other key field (like penalty clause), just add.
Scan PDF table to Excel Beginner friendly
Recognize this scan PDF table and convert to Excel.

Requirement:
1. Use OCR recognize all text and number in table
2. Keep original table row-column structure
3. Recognize number column as number format (not text)
4. Date column uniform format YYYY-MM-DD
5. If have merge cell, keep as is
6. If not certain in recognize, mark with [?]

PDF file: [upload file]

Output: Excel format, first row as header.
Scan file to Excel before need professional OCR software, expensive and not sure good. Now AI recognize accuracy already very high, especially print type. Handwriting accuracy lower, remember check again.
Batch merge PDF + sort + add page number Advanced tricks
Batch merge these PDF file, requirement as follow:

1. Sort rule: sort by file name number part ascending
   Example: report_01.pdf → report_02.pdf → report_10.pdf
   (note: number sort, not letter sort, 10 after 2)

2. After merge process:
   - Add page number bottom right corner every page (format: Page X / Total Y)
   - Generate table of content page at begin
   - Table of content include every original file name and start page number

3. Output:
   - Merged PDF file
   - Log file, record which file merged, order, every file page count

Give Python script implement this (use PyPDF2 or reportlab).
This Prompt output Python script, you run local ok. Suit for often need merge PDF. Script save down, next time use direct, no need ask AI again.

PDF process: OpenClaw vs Adobe Acrobat

OpenClaw
  • Batch info extract is strength —— hundreds PDF one command process
  • Extract rule fully custom, want extract what field all can
  • Can generate auto script, next time same task one-click reuse
  • OCR + info extract + format convert one-stop complete
VS
Adobe Acrobat Pro
  • PDF edit function powerful —— change text, change picture, change layout all ok
  • OCR recognize accuracy very high, especially English document
  • Batch function have but operation complex, need learn Action Wizard
  • Subscribe per year, price not cheap; info extract ability limited

Real scenario

Law firm: 200 contract due diligence
M&A project gotta do due diligence, other side give 200+ PDF contract. Lawyer need extract key term, deadline, risk point from every contract. Traditional way, two lawyer assistant work whole week.
OpenClaw solution
Write good extract Prompt (contract number, sign date, amount, key term, risk term), batch process 200 PDF. 2 hour result come, auto organize as table. Lawyer just check 15 contract AI mark has risk term, due diligence time cut from one week to one and half day.
Pure manual solution
Two lawyer assistant look one by one, every contract 20-30 page, after 80th page eye start blur. Miss two important jurisdiction term, discover before closing, almost mess up whole deal progress. Plus work until 2am, next day still gotta continue look.

Few practical suggestion

💡 Before extract info first test with 2-3 PDF, see extract result correct or not. Confirm ok then batch run, avoid 200 files run finish find extract rule wrong.
🎯 If often process same type PDF (like every month invoice, every quarter report), ask AI generate Python script save down. Next time run script direct, prompt even no need write.
⚠️ Scan file OCR recognize not 100% accurate, especially handwrite, stamp cover text, blur scan. Key info involve amount and date, must human double-check.
Case ini membantu kamu?