Turn messy invoices, GST forms, and scanned PDFs into clean, structured data.
Automate document extraction for finance and operations teams. Upload a document and export the fields that matter as JSON, CSV, Markdown, or tables.
- Built for Indian business documents
- Works with digital and scanned files
- JSON, CSV, Markdown, and table output
- Designed for API and human-review workflows
Two ways to work with your documents
Field Extraction
Pull critical fields such as invoice numbers, GSTINs, dates, tax breakdowns, HSN codes, vendors, totals, and line items into structured output.
Full-Document Digitisation
Convert scanned pages, tables, and multilingual documents into searchable, machine-readable content for downstream workflows.
From document to usable data
No templates to configure. No manual data entry. Just upload and extract.
- 01
Upload
Upload an invoice, form, statement, contract, image, or PDF.
- 02
Understand
The system reads layout, text, tables, and relevant fields.
- 03
Export
Send structured results to JSON, CSV, Markdown, tables, or downstream systems.
DocumentsAI — Extraction Preview
Document
This preview shows sample data. Upload a document to run live extraction — if no extraction API is configured on this deployment, you'll see a clear message instead of a result.
Structured Output
Sample{
"invoice_number": "INV-2026-0417",
"invoice_date": "2026-07-28",
"vendor_name": "Shree Enterprises Pvt Ltd",
"gstin": "27ABCDE1234F1Z5",
"total_amount": 125000,
"currency": "INR",
"line_items": [
{
"description": "Software services",
"quantity": 1,
"amount": 125000
}
]
}One engine, every document your team handles
GST Invoice Parsing
Extract GSTIN, HSN codes, tax breakdowns, and line items from vendor invoices — accurately, at scale.
KYC Extraction
Pull structured fields from PAN, Aadhaar, and onboarding forms for faster verification.
Bank Statement Parsing
Convert statements from any bank format into structured transaction data, ready for reconciliation.
Contract Review
Extract parties, dates, clauses, and obligations from agreements without reading every page.
Receipt Capture
Digitise expense receipts into structured records for finance and reimbursement workflows.
Archive Digitisation
Convert years of scanned paperwork into searchable, structured records.
Extraction that understands documents, not just text
Every part of the pipeline is designed for documents that don't come in neat, predictable formats.
Layout-aware extraction
Understands tables, headers, and multi-column layouts — not just raw text on a page.
Multilingual Indian document support
Reads documents in English and regional languages commonly used across Indian business paperwork.
API-ready structured output
Every extraction returns clean, validated data your systems can consume directly.
Fast and secure processing
Documents are processed quickly and handled with strict access controls throughout.
Built for business workflows
Designed around how finance, ops, and compliance teams actually work — not a generic OCR tool.
Powered by a structured document workflow
Document processing can combine file handling, OCR, layout understanding, validation, and language-model reasoning. Anthropic's Claude can be used server-side to normalize extracted values, interpret context, and produce schema-aligned output for downstream systems.
- Server-side API handling
- Structured output validation
- Reviewable extraction results
Designed with privacy in mind. Documents can be deleted after processing when configured — review our data-handling policy for details.
1. Document ingested (PDF / scan / image) 2. OCR and layout parsing extract raw text, tables, and structure 3. Claude reasons over layout, tables, and field context 4. Extracted values normalized to consistent types and formats 5. Structured JSON generated and schema-checked for validation 6. Reviewed data flows into your systems via API
Every document, redrawn as clean, usable data
That's the whole idea behind DocumentsAI — a page in, a record out. No re-typing, no templates to maintain, no manual cleanup before the data reaches your systems.
Document in — structured record out
Simple to start, built to scale with you
We're onboarding businesses directly right now, so extraction can be tailored to your documents and workflows. Start with a free trial or talk to us about your use case.
Free Trial
Get started at no cost
Pricing tailored to your document volume — talk to us for a plan.
- Unlimited document types
- JSON, CSV, Markdown, and table export
- API access for integration
- Human review workflow
No pricing surprises. No long-term lock-in required to get started.
Questions, answered
Invoices, GST documents, KYC forms, bank statements, contracts, and receipts — as digital files or scanned PDFs, including multilingual Indian documents.
Yes. Uploads accept PDF, PNG, JPEG, or WEBP files, including scanned or photographed pages, up to the size limit shown on the upload panel.
Yes — fields like GSTIN, invoice number, invoice date, vendor name, tax breakdowns, HSN codes, and line items are the kind of structured output the extraction pipeline is designed to produce.
JSON, CSV, Markdown, and a reviewable table view — the demo panel lets you switch between all four for the same data.
The extraction endpoint is designed to be API-ready: it accepts a file and returns structured JSON. Talk to us for access and integration details for your systems.
It depends on the deployment. When a server-side Anthropic API key is configured, uploading a real file runs live extraction through Claude. If no key is configured, the panel clearly shows sample output instead of a live result — it will never pass off sample data as a real extraction.
Uploaded files are sent to the extraction API for processing and are not stored in a DocumentsAI database. See our privacy policy for the current details on data handling and how to request deletion.
Stop retyping documents. Start extracting them.
Tell us about your documents and volume — we'll follow up to set up a demo with your own files, not a canned example.