Turn any document into structured data your pipeline can use.
Hybrid OCR and vision-language models with pixel-level provenance on every field. Type-safe SDKs in four languages. Production pipelines you can drop into your stack in minutes.
import { DataDistill } from '@datadistill/sdk'; const doc = await DataDistill.extract({ file: 'invoice_Q4.pdf', schema: invoiceSchema, }); doc.total.value // $12,480.00 doc.total.confidence // 0.9920 doc.total.source // { page: 1, bbox: [170,210,228,228] }
Four APIs. One pipeline.
Raw document in. Structured data out. Every field tagged with its source.
Ingest
PDFs, DOCX, TIFF, handwritten scans, slide decks, spreadsheets. 15+ formats from S3, GCS, SFTP, email, or direct API.
Read the spec →Parse
Layout-aware vision models capture structure — text, tables, figures, columns, handwriting — with bounding boxes preserved end to end.
Read the spec →Extract
Structured data against your JSON Schema. Field-level confidence. Type coercion. Cross-field validation.
Read the spec →Verify
Every field tagged with its source page and bounding box. Click any extracted value in the dashboard, jump to the pixel on the original page.
Read the spec →Three things that make the difference in production.
Hybrid OCR + VLM
Computer vision reads the layout. Vision-language models interpret the meaning. An agent reconciles both, catching errors neither finds alone.
Native agent reasoning
Low-confidence fields escalate to an agent that reasons over the source, cross-references external data, and explains its decision. Integrated with MCP so you can compose it into your own agents.
Pixel-level provenance
Every extracted value carries its exact source coordinates. Click any field, jump to the pixel on the original page. Your audit trail is built in, not bolted on.
"We'll just call an OCR API" is a nine-month project.
Teams start with a quick demo and end up six engineers deep in a stack of custom parsers, layout models, validation logic, and edge-case handling. Three places it gets stuck.
The OCR API works on 80% of your documents
The remaining 20% — bad scans, odd layouts, handwritten notes — are where every week of engineering time goes.
Validation you have to write yourself
Every extracted field needs type coercion, cross-field checks, and confidence thresholds. None of that is included in a raw OCR response.
Monitoring nobody thinks about
Production extraction fails silently. The first sign is usually a confused customer three weeks later.
Teams that need accuracy at scale.
Fintech & Banking
3-way match between invoices, POs, and receipts. Reconcile faster. Audit cleaner.
Legal Operations
Contract review at archive scale. Risk clauses surfaced. Obligations extracted. Deadlines tracked.
Healthcare
PHI encrypted. ICD-10 suggestion. Records land in your EHR as structured data.
Insurance
FNOL intake, estimates, and policy verification — extracted and routed before the adjuster opens the file.
Global Logistics
Sub-second extraction for bills of lading, customs forms, and packing lists. 40+ languages.
Government
FOIA requests, permits, benefits filings. GovCloud and on-prem deployments.
APIs you can trust with the on-call pager.
Type-safe SDKs. Webhooks that don't lie.
Built by people who've been paged at 2am. Webhooks with HMAC signatures, exponential backoff, and replay protection.
- Full type definitions inferred from your JSON Schema
- MCP (Model Context Protocol) native support
- Governed sandbox for risk-free integration testing
- Destinations for S3, GCS, Snowflake, Databricks, BigQuery
- OpenAPI 3.1 spec for every endpoint
from datadistill import Agent, Schema schema = Schema( invoice_id=str, total=float, due_date="YYYY-MM-DD", ) async with Agent(model="mcp-v1") as a: result = await a.extract( doc="invoice.pdf", schema=schema, ) assert result.confidence > 0.95
Ready for your CISO, your CFO, and your on-call engineer.
Uptime
Multi-region failover. SLA on every tier from Standard up.
Audit scheduled
Pre-audit controls documented. Interim security docs available under NDA.
Architecture ready
PHI encryption, access logs, audit trail. BAA signing on roadmap — talk to sales about timing.
Deploy in your env
Run entirely within your own AWS, GCP, or Azure. On-prem and FedRAMP pathways available.
Process 1,000 documents free.
No credit card. Full access to the API, SDKs, and provenance on every extracted field. Talk to sales when you're ready, not before.