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Document Parsing for LLMs
Your LLM hallucinates
because your parsing sucks
DocuPipe accurately extracts text from any document.
Tables, handwriting, checkboxes, complex layouts — nothing lost.
Original document
Other parsers
DocuPipe
MARTINEZ & SONS SALES INVOICE
General Construction Supply #08472
2847 Industrial Blvd, Unit 5
San Pedro, CA 90731
Tel: (310) 555-0147
Sold to: Johnson Remodeling LLC Date: Mar 14, 2025
Address: 459 Elm St, Torrance P.O. No: 7741
TIN: 912-847-553 Terms: Net 30
───────────────────────────────────────────────────────
Qty Description Unit Price Amount
───────────────────────────────────────────────────────
5 gals. Exterior latex paint 58.00 290.00
12 pcs. 2x4 lumber, 8ft treated 7.50 90.00
3 boxes drywall screws 1-5/8" 12.00 36.00
2 rolls painters tape, blue 2" 8.50 17.00
1 wood stain, dark walnut qt. 14.00 14.00
8 sheets plywood 4x8 1/2" 42.00 336.00
4 paint roller covers 9" 6.00 24.00
1 caulking gun + 3 tubes 22.00 22.00
───────────────────────────────────────────────────────
Subtotal: 829.00
Tax (9.5%): 78.76
TOTAL DUE: $907.76
Notes:
Delivery to job site — call before drop-off.
Gate code 4821.
Received by: D. Johnson [PAID]MARTINEZ & SONS General Construction Supply 2847 Industrial Blvd, Unit 5 San Pedro, CA 90731 Tel: (310) 555-0147 Fax: (310) 555-0148 SALES INVOICE #08472 Sold to: Johnson Remodeling LLC Date: Mar 14, 2025 Address: 459 Elm St, Torrance P.O. No: 7741 TIN: 912-847-553 Terms: Net 30 QTY DESCRIPTION UNIT PRICE AMOUNT 5 gals. Exterior latex paint (white) 58.00 290.00 12 pcs. 2x4 lumber, 8ft treated 7.50 90.00 3 boxes drywall screws 1-5/8" 12.00 36.00 2 rolls painters tape, blue 2" 8.50 17.00 1 wood stain, dark walnut qt. 14.00 14.00 8 sheets plywood 4x8 1/2" 42.00 336.00 4 paint roller covers 9" 6.00 24.00 1 caulking gun + 3 tubes silicone 22.00 22.00 Subtotal: 829.00 Tax (9.5%): 78.76 TOTAL DUE: $907.76 PAID Notes: Delivery to job site call before drop-off. Gate code 4821. Received by: D. Johnson
❮❯
Scanned handwritten invoice
Drag to compare parsing quality
99%
Extraction Accuracy
1000+
Teams Using DocuPipe
<5s
Per Page Processing
Over 1 billion pages processed, and counting
Trusted by customers big and small across every industry
Rated 4.9/5 on G2 verified reviews
The Problem
Why LLMs fail on documents
Traditional parsers destroy the structure your LLM needs to reason accurately.
Tables lose structure
Raw PDF extraction flattens tables into meaningless strings. Your LLM hallucinates cell values because it can't tell which number belongs to which column.
Checkboxes go undetected
Checkmarks, radio buttons, and filled bubbles are invisible to basic extractors. Your LLM never sees which options were selected.
Layouts get scrambled
Naive extractors read left-to-right across columns instead of top-to-bottom. Your LLM reads two unrelated paragraphs mashed together.
Scans return garbage
Handwritten forms and scanned PDFs produce garbled text with basic extractors. Your LLM can't reason over OCR errors.
Capabilities
Clean input, better output
Everything you need to feed your LLM with production-quality document data.
Table extraction
Tables extracted as JSON arrays with headers and rows intact — not flattened text.
Layout preservation
Multi-column documents and complex layouts parsed in the correct reading order.
Handwriting & OCR
Production-grade OCR handles scanned documents, handwritten forms, and checkboxes at 99% accuracy.
Checkbox detection
Detects checked boxes, filled bubbles, and radio buttons — your LLM knows exactly which options were selected.
Fast processing
Most documents processed in under 5 seconds per page. Async webhooks for large batches.
Enterprise ready
SOC 2 Type II certified, HIPAA compliant. BAA agreements available for healthcare.
Developer Experience
One API call. Clean JSON out.
No complex setup, no multi-step pipelines. Send a document via our REST API, get structured data back in seconds.
parse.py
import requests, base64, json
# read and encode the file
with open("invoice.pdf", "rb") as f:
encoded = base64.b64encode(f.read()).decode()
response = requests.post(
"https://app.docupipe.ai/document",
headers={
"X-API-Key": "YOUR_API_KEY",
"Content-Type": "application/json",
},
json={
"document": {
"file": {"contents": encoded},
"fileExtension": "pdf",
}
},
)
result = response.json()
print(result["documentId"]) # unique document ID
print(result["jobId"]) # track async processingComparison
DocuPipe vs the alternatives
| DocuPipe | LlamaParse | AWS Textract | PyMuPDF | |
|---|---|---|---|---|
| Handwriting recognition | Yes | Limited | Basic | No |
| Checkbox detection | Yes | No | Unreliable | No |
| Table extraction | Full structure preserved | Markdown | Basic JSON | None |
| Layout preservation | Full | Partial | Partial | None |
| Language support | 60+ languages | ~10 languages | ~30 languages | N/A |
| Schema extraction | Built-in | No | No | No |
| Compliance | SOC 2, ISO 27001, HIPAA | SOC 2 | SOC 2, HIPAA | N/A |
| File types | PDF, images, Word, Excel | PDF, images | PDF, images | PDF only |
| API design | Single REST endpoint | Multi-step | Multi-service | Library |
Pricing
Free credits to test. Plans from $99/mo.
Start with 300 free credits — no credit card required. See the difference in output quality before committing.
See PricingFAQ
Frequently asked questions
PDFs, images (PNG, JPG, TIFF, WebP), Word documents (DOC, DOCX), Excel spreadsheets (XLS, XLSX, CSV), plain text, JSON, XML, and HTML. Both native and scanned documents are supported — our AI-powered OCR handles handwritten content, checkboxes, and low-quality scans.
60+ languages and scripts, including English, Spanish, French, German, Portuguese, Italian, Dutch, Swedish, Chinese, Japanese, Korean, Arabic, Hebrew, Hindi, Thai, and more. DocuPipe handles multilingual documents natively — no configuration needed.
Tables are extracted with full structure preserved — headers, rows, and columns remain intact as structured data, not flattened text. This means your LLM can accurately reference specific cells and values without hallucinating.
Yes. DocuPipe has built-in schema extraction that lets you define a JSON schema and automatically extract matching fields from any document. You can also use chat-based schema creation to build schemas interactively.
Yes. DocuPipe's REST API returns structured JSON that you can feed directly into any RAG framework — LangChain, LlamaIndex, Haystack, or your own custom pipeline. Most teams are up and running in under an hour.
SOC 2, ISO 27001, and HIPAA compliant. BAA agreements are available for healthcare use cases. All documents are encrypted in transit (TLS) and at rest (S3). We offer zero-data-retention policies and never use customer data for model training.
DocuPipe uses a credit-based system. Document parsing costs 1 credit per page. Start with 300 free credits — no credit card required. Paid plans start at $99/mo for 2,500 credits, with volume discounts available on higher tiers.
DocuPipe integrates with Make.com, Zapier, and n8n for no-code automation workflows. For developers, our REST API works with any language or framework — Python, Node.js, Java, Go, and more. Feed parsed output into LangChain, LlamaIndex, or Haystack for RAG pipelines, or connect to any vector store like Pinecone or Weaviate.
DocuPipe is a simple REST API. Send a POST request with your document (as a URL or base64-encoded file), and get back a job ID. Poll for results or set up webhooks for async notifications. No SDK required — works with any language that can make HTTP requests.
Start parsing smarter, today
Stop feeding garbled text to your LLM. Get clean, structured data from any document.