Transform complex documents into AI-ready data
Extract text, multi-column tables, handwriting, and typed schemas with pixel-grounded citations. Self-hosted with zero per-call cost.
test cases passed with 100% win rate across 36 document data types — zero errors.
Parse the pages. Extract the fields.
Grounded structure in, schema out — every value cited back to its source with bounding box coordinates and confidence scores.
Any document in.
Grounded structure out.
Invoices, medical records, government forms, and scanned faxes come back as text, tables, and figures — each with a bounding box in pixel coordinates.
Try it in AI StudioDefine your schema.
Get typed JSON back.
Pass a schema of fields you need — or let the AI auto-design one. Every extracted value carries a confidence score, extraction layer tag, and page citation.
Build a schema{
"vendor": "Meridian Supply Co.",
"invoice_no": "INV-2026-4471",
"total": 3518.13,
"math_verified": true,
"trust_score": 0.984,
"decision": "AUTO_APPROVED"
}Core Capabilities
Everything you need for document intelligence.
Built for high-volume enterprise pipelines that demand accuracy, zero arithmetic hallucinations, and grounded source citations.
Omni-Format Layout Parser
Preserves multi-column reading order, paragraphs, headings, and images across PDFs, scans, PPTX, DOCX, and 6 image formats.
Cell-Grid Table Extraction
Complex nested tables, merged cells, and multi-level headers — rendered in Cell Grid, Markdown, HTML, CSV, or structured JSON.
Grounded Source Citations
Every extracted field carries pixel bounding-box coordinates, page numbers, confidence percentages, and extraction layer tags.
3-Layer Cost Optimization
Layer 1 Rules → Layer 2 NER Model → Layer 3 LLM Escalation. Eliminates up to 90% of expensive LLM API bills automatically.
Math & Fraud Verification
Stage 7 arithmetic checks verify Subtotal + Tax = Total before auto-approving — eliminating financial hallucinations entirely.
Self-Hosted & Private Cloud
Deploy inside your private Kubernetes or VPC cluster with Docker manifests. Zero external data egress. Your data never leaves your network.
Developer Integration
Parse & extract in 3 lines.
curl -X POST https://api.parsa.ai/v1/documents/upload \
-H "X-API-Key: your_api_key" \
-H "X-LLM-Provider: gemini" \
-H "X-LLM-Model: gemini-2.0-flash" \
-F "file=@invoice.pdf"{
"doc_id": "doc_9941a802",
"status": "AUTO_APPROVED",
"grounded_fields": {
"Vendor": {
"value": "Meridian Supply Co.",
"conf": 0.99,
"bbox": [30, 110, 540, 160],
"page": 1
},
"Total Due": {
"value": "$3,518.13",
"math_verified": true
}
}
}Accuracy Evaluations
How we compare.
Evaluated on OmniDocBench and our 36-datatype benchmark suite (720 test runs).
| Engine / Platform | Printed Text | Handwriting | Table F1 | Cost Model | Deploy |
|---|---|---|---|---|---|
| Parsa.ai (Unlimited-OCR 3B-MoE) | 98.9% | 96.4% | 97.2% | $0 / call | Self-Hosted |
| AWS Textract | 95.2% | 84.1% | 88.5% | $1.50–$15/1k | AWS Only |
| Azure Document Intelligence | 96.1% | 87.3% | 91.0% | $1.50–$10/1k | Azure Only |
| Google Document AI | 96.4% | 86.8% | 90.4% | $1.50–$30/1k | GCP Only |
| Tesseract v5.3 | 88.1% | 42.0% | 51.2% | Open Source | Self-Hosted |
9-Stage Orchestration
End-to-end. From upload to delivery.
Nine micro-orchestrated stages — from raw file ingestion to HMAC-SHA256 signed webhook delivery.
Secure Ingestion
Magic-byte MIME validation, ClamAV scanning, zip-bomb defense, SHA-256 idempotency.
Document Profiling
Detects digital PDFs to skip OCR, scores scan quality, selects image enhancements.
Pre-Processing
De-skew, adaptive binarization, denoise, and 5-class layout region segmentation.
OCR Router
Unlimited-OCR 3B-MoE VLM via SGLang RadixAttention prefix caching engine.
Normalization
ISO-8601 dates, currency codes, CJK character cleaning, and format standardization.
3-Layer Extraction
Rules → NER Model → LLM Escalation. 90% cost reduction vs. LLM-first approaches.
Math & Trust Score
Arithmetic verification, fraud signature detection, and composite trust scoring.
Decision Engine
Auto-approve ≥95% confidence, route to human review, or quarantine suspicious files.
Signed Delivery
HMAC-SHA256 signed webhooks, idempotent delivery, and ERP connectors.
Predictable Infrastructure Pricing
Deploy your way. Zero per-call tax.
No seat fees, no hidden multipliers, no automatic complexity surcharges.
Open-source core IDP platform for single-node development and testing.
- Single CPU / GPU execution
- Unlimited-OCR HuggingFace integration
- Layer 1 Rules Engine
- JSON & Markdown output
- Community support
Deploy inside your private Kubernetes VPC with zero data egress.
- Full 9-Stage Orchestration
- SGLang GPU Autoscaling Manifests
- 3-Layer Extraction + LLM Guardrails
- Custom Model Fine-Tuning Pipeline
- Dedicated SLA & 24/7 Support
Fully managed isolated cloud instance with guaranteed throughput SLAs.
- Dedicated Cloud Instance
- Managed Upgrades & Patches
- SOC-2 Type II Compliant
- Custom LLM Key Integration
- 99.99% Uptime Guarantee
Questions
Frequently asked.
How does the 3-Layer Extraction save up to 90% on LLM costs?
Can I use my own LLM API keys (Google Gemini, OpenAI, Anthropic)?
What file formats are supported?
Can I deploy on my own private cloud or GPU servers?
How does the Math & Fraud Verification work?
// ENTERPRISE ARCHITECTURE
Ready to extract trusted document data?
Schedule a 30-minute technical deep dive with our document intelligence architects or launch our interactive workspace.
Book an Enterprise Demo
Schedule a 30-minute session with our team.