Built for the Modern Developer Stack.
Graflows combines layout-aware extraction with powerful LLM-native processing to give you a document-to-data engine that learns from approval, not just inference.
Layout-Aware Extraction
Our engine understands the spatial relationships between text, and visual elements, ensuring data is captured precisely as it appears.
Table Reconstruction
Automatically detect and reconstruct complex nested tables, maintaining row and column integrity across page breaks.
Dynamic Schema Mapping
Define exactly what you want. Pass a JSON schema and get perfectly structured results tailored to your database.
Approved Example Memory
Enable schema memory, approve corrected results, and let similar files reuse those examples as one-shot context for more consistent extractions.
API-First Workflow
Built for developers. Integrate with just a few lines of code via our robust REST API and comprehensive documentation.
Clean Markdown Export
Convert dense PDFs into human-readable, LLM-ready markdown while preserving headings, lists, and semantic structure.
High Performance
Optimized for speed. Process high-volume document batches with low latency using our distributed compute engine.
Automated Redaction
Scale compliance efforts by automatically redacting sensitive PII from documents before they enter your data lake.
Extraction that improves after human approval.
Turn on memory at the schema level, approve a corrected normalized result, and Graflows can reuse that example the next time a similar file shows up. It keeps teams aligned without adding a second integration surface.
Private by user
Each user only reuses their own approved files.
Saved-schema only
Memory is scoped to runs that pass a schema_id.
Review controlled
Only approved results become reusable examples.
1. Extract with schema_id
Run a file against a saved schema with memory turned on.
2. Review normalized_result
Approve the corrected JSON after checking the output.
3. Reuse similar example
The next matching document can inherit that approved pattern.
What's on the Horizon?
We're shipping new features every week. Here's a glimpse of the next major updates.
Intelligent Classifiers
Automatically categorize documents by type (invoices, contracts, IDs) before extraction.
Native Connectors
Direct integrations with AWS S3, Google Drive, and Snowflake for automated ingestion.
Approval Workflows
Route low-confidence documents to reviewers, queues, and teams with configurable approval policies.