shenshen is an AI-powered image intelligence tool that turns photos of documents into clean, structured data.
Upload a photo of an invoice, receipt, business card, contract, or screenshot โ shenshen auto-corrects crooked angles, glare, and shadows, then extracts labeled fields (vendor, totals, line items, contact info, dates) ready for spreadsheets, CRMs, or APIs. No retyping, no templates to configure. Works on the messiest phone photos.
What it extracts: - Invoices โ vendor, invoice number, line items, tax, total, due date - Business cards โ name, title, company, email, phone (CRM-ready) - Receipts โ merchant, date, items, subtotal, tax, total - Screenshots โ table data as clean spreadsheet rows - Contracts โ parties, effective date, payment terms, key clauses
Why it's different: - Built for phone photos, not perfect scans - Auto-rotates, deskews, corrects glare and shadows before reading - Structured output โ not raw text you have to re-format - Configure document types once, handles them consistently - Free tier: 50 docs/month; $49 lifetime for founding members
Works on: JPG, PNG, screenshots, phone camera photos Exports to: CSV, spreadsheet, JSON, API payloads No credit card required to start.
A startup from China that is founded by Chunhui Zhang.
AI photo parsing
Reads photos of documents and extracts labeled fields โ vendor, totals, line items, dates, contact info.
Auto image correction
Auto-corrects crooked angles, glare, shadows, and on-screen reflections before reading.
Structured data export
Export organized fields to CSV, spreadsheets, JSON, or API payloads.
shenshen is a next-generation AI image intelligence tool that goes beyond just reading text from photos. Three things set it apart:
Most tools stop at turning a photo into text. shenshen turns a photo into organized, structured information.
Compared to traditional scanning apps and plain text-extraction tools, shenshen delivers three practical advantages:
For anyone who regularly turns photos of documents into business data, the time saved on retyping and reformatting alone pays for itself.
shenshen is built for people who handle large volumes of document-based information daily but don't want to retype it:
The common thread: they work from photos or scans and need organized, structured data out โ not a wall of raw text they have to reformat themselves.
shenshen started from a simple frustration: document scanning tools and text extractors had been around for years, yet people still spent hours retyping information from photos of receipts, invoices, and business cards. The tools existed, but the workflow was still broken.
We saw that the real gap wasn't reading text โ it was turning messy real-world photos into organized, structured data that businesses could actually use. A crumpled receipt shot on a phone, a glossy business card under bad light, a screenshot of a table: traditional tools gave back a wall of raw text and left the rest to you.
So we built shenshen around a different idea: point your phone at any document, and get organized information out โ labeled fields ready for your spreadsheet, CRM, or workflow. No templates, no retyping, no perfect scans required. The name comes from the Chinese concept of meticulous, careful attention (ๆ ) โ the care we put into every document you give us.
shenshen is built on a modern AI stack focused on accurate reading and structured data extraction:
shenshen is in its early access phase, so we don't publish named enterprise customers yet. Our earliest adopters come from the communities we're built for:
We're currently onboarding founding members through our early access program โ if you'd like to be among the first, join the waitlist at shenshen.ai.
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Check the traffic stats of shenshen on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
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Check the "Domain Authority" of shenshen on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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