AI Document Parser · Zero templates · Any document type
4.8/5Trusted by 10,000+ finance teams
Extract data from any document using natural language
Tell DocuClipper what to extract — tables, fields, or custom data. Works on any PDF, including complex or non-standard formats.
4.8/5Trusted by 10,000+ finance teamsYour documents
MSA_Draft.pdf
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Vendor_intake.docx
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Custom_form_scan.pdf
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Any PDF → describe what to extract → export to spreadsheets, accounting, or your API
Trusted by accountants, lenders, and finance teams processing thousands of documents daily.
- Document type
- Any
- Seconds per document
- 5s
- Templates required
- 0
- Teams automating with DocuClipper
- 10K+
Traditional OCR breaks the moment things change
Every document tool before this required a template, training, or a developer — and still fell apart on messy PDFs.
Templates break constantly
Any change in font, layout, or vendor format silently produces wrong data.
Setup takes days
Building and maintaining templates for every document type is tedious and never-ending.
New formats require rework
A new vendor, form version, or document type means rebuilding from scratch.
OCR gives text, not structure
Raw OCR dumps text with no context — you still need to parse, clean, and map it manually.
Just describe what you need — AI does the rest
No templates. No training data. No code. Define fields in plain English and get clean, structured output from any document.
Plain-English prompts
Tell the AI what to extract the same way you'd tell a colleague. No field mapping, no schema configuration.
Tables and line items
Extract full tables — line items, transactions, schedules — not just flat key-value pairs.
Any document type
Works on invoices, contracts, bank statements, tax forms, insurance docs, and any custom format you throw at it.
Multi-page documents
Extracts data across the entire document — even reports and statements spanning dozens of pages.
Results in seconds
Upload a file, paste your prompt, and get structured output in seconds. No training or warm-up needed.
Batch processing
Run the same extraction prompt across hundreds of files at once. Consistent output, every time.
From document to structured data in four steps
No setup, no templates. Upload, describe, extract, export.
→
1
Upload your document
Drop in any PDF, image, or scanned document. Any format, any layout.
→
2
Describe what to extract
Type your prompt in plain English: "Invoice number, total amount, line items, payment terms…"
→
3
Get clean structured data
The AI reads the document, finds the fields you described, and returns structured rows — instantly.
4
Export or automate
Download to Excel, push to Google Sheets, or trigger downstream workflows via API or webhooks.
See it in action — real prompts, real output
Copy any of these prompts, upload your document, and get structured data in seconds.
Invoice extraction
Paste the prompt, upload documents, and export the structured output.
Prompt
Extract vendor name, invoice number, total amount, due date.
Output (example)
| Vendor | Invoice # | Total | Due date |
|---|---|---|---|
| Acme Supplies LLC | INV-10492 | $3,218.40 | 2026-02-15 |
| Northwind Office | A-8821 | $468.00 | 2026-02-20 |
| BrightStar Freight | FRT-773 | $1,029.12 | 2026-02-28 |
Built for finance, lending, and operations
Not a generic OCR tool. DocuClipper is purpose-built for the document-heavy workflows that finance and operations teams run every day.
Accounting
Prompt → tableExtract line items + custom fields from invoices
Prompt example
Extract vendor, invoice #, tax, line items (description, qty, unit price), total.
Output example
| Vendor | Invoice # | Total |
|---|---|---|
| Acme Supplies LLC | INV-10492 | $3,218.40 |
Lending / Underwriting
Prompt → tablePull income, balances, and anomalies from statements
Prompt example
Extract borrower name, monthly income, ending balance, and any NSF fees. Return a monthly summary.
Output example
| Month | Income | NSF fees |
|---|---|---|
| 2026-02 | $7,420.00 | $35.00 |
Forensic / Audit
Prompt → tableFind patterns like cash deposits, transfers, and spikes
Prompt example
Extract cash deposits and transfers. Flag any day with total cash deposits over $5,000.
Output example
| Date | Type | Amount | Flag |
|---|---|---|---|
| 2026-02-18 | Cash deposit | $6,200.00 | High cash volume |
Operations / Back Office
Prompt → tableStandardize messy vendor formats across docs
Prompt example
Extract vendor name, invoice #, PO #, due date. Normalize vendor names (strip suffixes like LLC/Inc.).
Output example
| Vendor (normalized) | Invoice # | PO # |
|---|---|---|
| Acme Supplies | INV-10492 | PO-8841 |
Extract anything, from any document
Text fields, full tables, nested structures — even from messy scans and inconsistent layouts.
What you can extract
- Text fields — names, dates, totals, IDs, addresses
- Tables — line items, transactions, multi-row data
- Nested or complex structures
- Multi-page documents of any length
- Data from scanned or image-based PDFs
Works with any document type
- Invoices and purchase orders
- Bank and credit card statements
- Contracts and legal agreements
- Tax forms and government documents
- Loan applications and underwriting files
- Insurance policies and claims
- Custom business reports and exports
Export your data anywhere
Get structured output in whatever format your workflow needs — no manual cleanup required.
- Excel — structured, analysis-ready sheets
- CSV — for any downstream system
- Google Sheets — direct sync
- JSON via API — for custom integrations
- Webhooks — trigger automation workflows
Built for real-world document chaos
Documents in the wild are messy. DocuClipper handles inconsistent layouts, scanned PDFs, and mixed formats without breaking.
- High accuracy on complex financial documents
- Handles scanned, rotated, and low-quality PDFs
- No template setup — ever
- Batch-process hundreds of files at once
- SOC 2 compliant — your data stays secure
AI templates vs. traditional OCR tools
| Feature | DocuClipper AI Templates | Traditional OCR |
|---|---|---|
| Requires templates | ||
| Handles layout changes | Limited | |
| Setup time | None | Hours–days |
| Flexibility | Unlimited | Limited to template |
| Table / line item extraction | Limited | |
| Structured output | Ready to use | Manual cleanup |
Automate your document pipeline end-to-end
Connect AI extraction to the rest of your workflow — from ingestion to delivery — without writing code.
1
Ingest
Pull docs from email, Google Drive, or direct upload
2
Parse
AI reads every field using your plain-English prompt
3
Structure
Fields are normalized, typed, and validated automatically
4
Review
Flag edge cases for human review before they reach downstream systems
5
Deliver
Push to Excel, Sheets, QuickBooks, or any system via API/webhooks
Processing a specific document type?
For standardized document workflows, use our purpose-built tools with pre-tuned extraction and formatting.
Frequently asked questions
Yes. You can define custom extraction prompts for any document type — invoices, bank statements, contracts, tax forms, insurance documents, or any custom format. The AI adapts to the content and layout of your document.
No. Just describe what you want to extract in plain English — the same way you'd explain it to a colleague. DocuClipper's AI reads the document and locates the fields you described without any template setup or model training.
Yes. AI templates support structured table extraction, including multi-row line items, transaction tables, and nested data. Just describe the table structure in your prompt and the output will include each row as structured data.
Unlike template-based OCR tools, AI extraction is not tied to a fixed layout. When a vendor changes their invoice format or a bank updates their statement design, your prompt keeps working — no reconfiguration needed.
Yes. You can batch-process hundreds of documents at once using the same prompt. For full automation, connect DocuClipper to your document sources via email or Google Drive, and push results downstream via API, webhooks, or Google Sheets.
DocuClipper is SOC 2 compliant. Documents are processed securely and never used to train AI models. You can review our full security and compliance posture on the security page.