Concept productSaaS Platforms · FinTech
Cashlume
Financial operations for growing Indian businesses.
- Live multi-bank cash position
- Auto-matching with confidence scores
- GST-ready invoicing and reminders
FinTechSaaSReactNode.js
View product 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.
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.
All documents by type and status, and the processing pipeline behind them.
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
Connect
Forward the AP inbox; connect the ERP.
- 2
Configure
Fields, rules and approval thresholds per document type.
- 3
Process
Documents flow through automatically.
- 4
Review
People handle only the uncertain ones.
- 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
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
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
- Strategy
- UX
- Prototype
- MVP
- Production
- Launch
- 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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View product 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.