✦ Next-generation OCR β€” recognition + parsing in one step

Effortlessly build a custom image-recognition & data-extraction workflow for your business

Next-generation OCR reads the crooked, the glossy, the on-screen β€” then parses what it sees into the exact fields your business uses. Your people stop retyping and get back to the work only they can do.

Founding member seats: early pricing, locked in for life
Traditional OCR raw text, errors
Invoid #A-2B41
Vendr: Acme Corp
Date: 2026/07/1O
Totl: $1,240.5O
shenshen recognized + parsed
Invoice #A-2841
Vendor: Acme Corp
Date: 2026/07/10
Total: $1,240.50
Invoice #A-2841
VendorAcme Corp
Total$1,240.50
Due date2026-08-01
A phone photo of a receipt β€” crooked, glossy, imperfect. shenshen auto-rotates, deskews, corrects, then hands you the fields.

In OCR, two things matter. Most tools do one.

Recognition turns a photo into text. Parsing turns text into the fields your business runs on.

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Recognition that survives the real world

Documents don't arrive flat and clean. shenshen auto-rotates and deskews phone photos, reads text at any angle, and works through glare, shadows, and screen moirΓ©. Built-in error correction fixes what other engines mangle.

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Parsing that delivers business data

An invoice is not a blob of words β€” it has a vendor, a number, line items, a total, a due date. shenshen extracts those as structured data: spreadsheet rows, CRM contacts, API payloads. Not a wall of text you dissect by hand.

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Built for your business

Configure your document types once β€” invoices, business cards, forms, contracts β€” and shenshen handles them the way your workflow needs. Recognition + parsing in one step.

Four documents your team already has

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Invoices

Photo in, fields out: vendor, invoice number, line items, tax, total, due date.

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Business cards

Snap a card at a networking event β†’ CRM contact: name, title, company, email, phone.

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Screenshots

A table in an email or report β†’ clean spreadsheet rows. No retyping.

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Contracts

Parties, effective date, payment terms, key clauses extracted β€” not a 20-page scan.

Built for the work you actually do

Here's how the usual options hold up against the document you're really holding β€” a phone photo, not a clean scan.

Traditional OCRCloud OCR APIManual entryshenshen
Reads phone photos (crooked, glossy, screen moirΓ©) βœ— Fails on glare & angle ◐ Needs clean scans / preprocessing N/A β€” a human βœ“ Reads them, auto-corrects
Output Raw text, error-prone Text + a few generic fields Depends on the person Structured, business-ready fields
Error correction None β€” you re-key Minimal, you handle edge cases Human review Built-in smart correction
Setup Install, license, templates You build & maintain the pipeline Hire + train people Configure your document types
Cost that actually bites License + hours fixing output API fees + developer time Salary + error cost Your team's hours back

Early access pricing

We're validating before scaling. Founding member seats lock in early pricing for life.

Free

Free
while in beta
  • 50 document scans / month
  • Recognition + parsing
  • Community support
Start free

Try it on your messiest document

Upload the worst receipt, the most crumpled contract, the screenshot nobody can read. If it isn't accurate β€” and structured β€” tell us. Free to start.