01Product
Products
AI-powered extraction, structured storage, real-time tables, API access, and integrations — turn unstructured documents into production data.
AI-powered extraction
Upload any document — PDFs, images, scanned files, emails. AI reads and extracts structured fields matching your schema.
Structured tables
Extracted data flows into live, editable tables. Filter, sort, search, and edit — like a spreadsheet, but smarter.
Schema builder
Define exactly what data to extract. Text, numbers, dates, booleans, enums — full type safety for every column.
Batch processing
Upload hundreds of documents at once. Processing runs in parallel — results stream into your tables in real time.
API access
Full REST API for programmatic uploads, extraction, and data retrieval. Webhooks for real-time notifications.
Export formats
Download as CSV, Excel, or JSON. Scheduled exports, one-click downloads, and API-driven retrieval.
Integrations
Connect via webhooks and API. Push extracted data to your existing tools, databases, and workflows.
Team collaboration
Invite team members, assign roles, share tables. Audit logs track every change across your workspace.
02FAQ
Common questions about the Anyrow platform
What document types does Anyrow extract from?
PDFs (native, scanned, password-protected), DOCX, images (JPEG, PNG, HEIC, WebP, TIFF), emails (EML, MSG, forwarded IMAP), audio (MP3, WAV, M4A, FLAC), video (MP4, MOV), spreadsheets (XLSX, CSV, TSV), JSON, XML, URLs, and ZIP archives. Deterministic parsing handles structured formats at zero LLM cost; the AI path handles everything else.
How does the schema builder handle typed columns?
Define columns as text, number, currency, date, boolean, email, URL, array, multi-select, or media-file. Anyrow enforces types on extraction — not just on display. Low-confidence fields route to a review queue before they publish. Schema evolution (add, rename, type-change, delete) runs without table downtime via background backfill.
Is the API stable enough for production workloads?
Yes. The REST API and TypeScript, Python, Go, and Rust SDKs follow an OpenAPI 3.1 spec with versioned endpoints. Webhooks cover row.created, row.updated, row.deleted, batch.completed, and extraction.failed with retry and custom headers. We consider the core extraction and row CRUD endpoints stable; experimental endpoints are flagged in the reference docs.
Does Anyrow support batch processing of thousands of files?
Yes. The Batch API accepts up to 1,000 files per request at a 50% cost discount versus single-file extraction, with a 24-hour SLA. Processing runs in parallel on Cloudflare Workers globally. Live progress streams via SSE — you see per-file status (queued, extracting, extracted, failed) without polling. Scale and Enterprise plans have higher concurrent batch limits.
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