files, handwritten notes, damaged scans, or massive tables. Retab has state-of-the-art vision language models (VLMs) that can extract, edit, split, and classify data in documents with human-level precision.

Build your workflow by describing it - Upload 3-5 examples, explain your workflow, and our AI agent builds it for you. Update rules or add new fields in seconds using natural language.

Developer-friendly tooling - Get full control over your pipeline. Work directly from Claude Code / Codex via our MCP app. Build custom data processors and validations. Deploy as APIs or webhook-driven jobs. Maintain total interpretability with field-level sources and uncertainty scores (via k-LLM consensus).

Evaluate performance - Know exactly what works before going live. Test workflows against your historical data to see precise accuracy metrics, and rely on built-in feedback loops to continuously auto-improve.

Handle exceptions - Detect and route edge cases to human reviewers while monitoring hundreds of concurrent workflows from a single dashboard that tracks performance, compliance logs, and costs.

Enterprise-grade security - Deploy anywhere. Run Retab fully air-gapped on-premise, within your own cloud (AWS, Azure, GCP), or via our secure hosted cloud. SOC 2, GDPR, and CCPA compliant.