AI-powered document extraction platform with native structured storage that converts PDFs, emails, images, and calls into typed, editable
Anyrow uses AI to extract data from documents, emails, calls, and images, storing it as structured, typed rows in a relational database. It supports schema-enforced extraction, two-way sync with popular platforms, and includes an AI copilot named Reny for data interaction.
Last updated: Jul 15, 2026
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Extracts structured data from PDFs, emails, voice recordings, images, spreadsheets, and web content into typed rows.
Extraction is performed against user-defined schemas ensuring typed, validated, and relational data storage.
Reny extracts, links, and generates source-cited briefings from data rows, enabling conversational interaction with data.
Per-field confidence scores guide automated routing of low-confidence data for human review to maintain accuracy.
Stores extracted data in a relational database with typed columns, foreign key relations, versioning, and audit logs.
Runs on Cloudflare Workers and associated edge services for low-latency global extraction and processing.
| Plan | Price | Highlights |
|---|---|---|
| Free | $0 | 150 extractions per month
|
| Pro | $49 | 2,000 extractions per month
|
| Scale | $199 | 20,000 extractions per month
|
| Enterprise | Custom | Custom extraction volume
|
Live bidirectional synchronization with HubSpot, NetSuite, Google Sheets, Postgres, and other APIs or webhooks.
Supports batch API extraction, multiple export formats including CSV, Excel, JSON, and audit logging for compliance.
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