01Use cases
Solutions
From invoice processing to email parsing — see how anyrow automates document extraction for finance, ops, logistics, and more.
02Built for the document shapes you already have
Built for every document workflow
Invoice processing
Extract vendor, amounts, line items, tax, and due dates from invoices automatically. No templates needed.
Email parsing
Turn email content into structured data. Order confirmations, support tickets, lead forms — parsed and stored.
Receipt scanning
Scan paper or digital receipts. Extract merchant, date, total, category, and line items instantly.
Logistics documents
Bills of lading, packing slips, shipping labels. Extract tracking numbers, weights, and addresses at scale.
HR documents
Resumes, contracts, timesheets. Extract candidate details, terms, and hours into structured tables.
Medical records
Patient intake forms, lab results, prescriptions. Structure healthcare data while maintaining compliance.
04FAQ
Common questions across teams
Does Anyrow work for any team or only these use cases?
Anyrow works for any team turning unstructured inputs into operational data. The use cases on this page are the highest-demand wedges, but the underlying platform is a general relational database with schema-enforced extraction. If your workflow involves documents, calls, emails, or forms landing in a table, it fits.
How does Anyrow handle cross-team data — e.g., sales leads that finance needs for revenue recognition?
Tables live in the same workspace and link via foreign keys. A sales lead row can link directly to a revenue recognition row in finance's table. One query joins both — no CSV handoff, no Zapier step, no copy-paste. Access control keeps each team's write permissions scoped while reads stay shared.
Is Anyrow fast enough for ops teams with high-volume daily ingest?
Yes. PDF extraction completes in under 3 seconds, image under 2, one-page email under 1. Batch API runs up to 50% cheaper with a 24-hour SLA. Scale plan handles 20,000 extractions per month; Enterprise removes the cap. Cloudflare Workers and D1 run at the edge globally — latency is low regardless of where your team is.
Can we start on one team and roll out to others later?
Yes, that's the common path. Most teams start with a single workflow — invoice processing, call capture, or lead intake — and expand once the schema pattern is proven. Tables and templates are forkable across projects inside one org. Adding a second team is a new project, not a new contract.
Don't see your use case?
anyrow works with any document type. Define your schema and start extracting.