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Product prototypeAI Products · Finance & operations

Parsewell

Stop re-typing data from PDFs.

AI document intelligence for invoices, contracts, KYC and claims: classify, extract, validate against business rules, and post to your ERP — with a human review queue for anything uncertain.

Build Something Like ThisSee the screens
WebAPI
Product prototype · demo data
The problem

Teams spend hours copying fields from documents into systems.

Accounts payable, operations and compliance teams manually key invoice data, check it against purchase orders and chase errors later. OCR alone gets text, not meaning.

  • Manual data entry from PDFs and scans
  • Errors found at month-end
  • No validation against POs or tax rules
  • Documents arrive via email, WhatsApp and portals
The solution

Extraction with validation and a human checkpoint.

Parsewell classifies each document, extracts fields and line items with vision + language models, runs business checks, and only asks a person when confidence or a rule says so.

  • Per-field confidence scores
  • PO, duplicate and tax validation
  • Review queue with highlighted source
  • Post to Tally, Zoho or ERP via API
Product experience

Inside Parsewell.

Real interface states, drawn as working UI — not stock illustrations. Switch between screens.

Source document with highlighted regions next to extracted fields, confidence and checks.

Core features

What it does.

01

Multi-channel ingest

Email inboxes, upload, WhatsApp and SFTP.

02

Classification

Invoice, credit note, contract, KYC, claim — routed to the right extractor.

03

Field & table extraction

Header fields and line items with per-field confidence.

04

Business validation

PO matching, duplicate detection, GSTIN and arithmetic checks.

05

Review queue

Side-by-side source and fields; corrections feed evaluation.

06

Audit trail

Who approved what, when, and which model version extracted it.

User journey

From sign-up to result.

  1. 1

    Connect

    Forward the AP inbox; connect the ERP.

  2. 2

    Configure

    Fields, rules and approval thresholds per document type.

  3. 3

    Process

    Documents flow through automatically.

  4. 4

    Review

    People handle only the uncertain ones.

  5. 5

    Result

    Data entry turns into data review.

Technology

How it's built.

A stack chosen for this product's constraints — realtime, offline, compliance or AI — not a default template.

Frontend
Next.jsReactTypeScriptTailwind CSS
Backend
PythonFastAPIPostgreSQLCelery
AI
Vision-language modelsOCRStructured outputsEval sets
Integrations
TallyZoho BooksSAPEmail / IMAP
Infrastructure
AWSDockerGitHub ActionsSentry
Ingest
Email
Upload
WhatsApp
API
Processing
Classifier
Extractor
Validator
Human loop
Review queue
Corrections
Data
PostgreSQL
Document store
Audit log
Output
ERP / accounting APIs
Webhooks
Simplified architecture · request flow left → right
A first version

What we'd ship first.

If this were your product, this is the scope we'd propose for a first release that proves value — with everything else in a ranked backlog.

  • Invoice extraction
  • PO matching
  • Review queue
  • Tally export
  • Accuracy dashboard on a labelled set
Product lifecycle
  1. Strategy
  2. UX
  3. Prototype
  4. MVP
  5. Production
  6. Launch
  7. Scale

About outcomes. Parsewell is a product prototype, so we don't publish usage or performance numbers for it. When we show client work, it will come with real, verifiable outcomes.

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Want something like Parsewell for your business?

Tell us about your users and the problem. We'll come back with how we'd approach it and what a first version could include.

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