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parserdata/README.md

ParserData

Intelligent Document Processing for Financial Data

ParserData is a platform that turns financial documents into clean, structured datasets that can be directly used by analytics systems, databases, and business workflows.

Customers upload or stream documents such as reports, statements, and invoices, and ParserData automatically extracts, normalizes, and validates the data into a consistent schema.

What ParserData Does

ParserData handles the full document processing pipeline: IDP

  • Ingestion
    Upload files via UI or stream documents through an API

  • Document Understanding
    Identify document structure, tables, and relevant fields

  • Extraction
    Capture structured data from invoices, receipts, statements, and reports

  • Normalization & Validation
    Normalize values, validate formats, and enforce consistent schemas

  • Delivery
    Deliver clean structured outputs via API or export

Supported output formats include JSON, Excel, CSV, and XML.

Designed for Reliability at Scale

ParserData is built for teams that currently rely on:

  • Manual data preparation
  • Spreadsheet-based workflows
  • Fragile custom scripts
  • One-off document parsing logic

Instead, ParserData provides a reliable, scalable, and schema-driven way to convert financial documents into usable data that downstream systems can trust.

Common Use Cases

  • Invoice and receipt processing
  • Bank and financial statement extraction
  • Financial reporting automation
  • Feeding data into analytics or BI systems
  • ETL pipelines for accounting and finance teams
  • Workflow automation via APIs and integrations

API-First Platform

ParserData is designed to integrate easily into modern systems:

  • REST API for document ingestion and extraction
  • Schema-based extraction for predictable outputs
  • Automation-friendly for tools like Python, n8n, Make, and custom pipelines
  • Suitable for batch and streaming workflows

Example repositories with cURL, Python, and automation workflows are pinned below.

🛠️ Technologies and Stack

React   TypeScript   Vite   Node.js   Supabase   PostgreSQL   Docker   Clerk   Paddle   Google Cloud / Gemini APIs

Who It’s For

ParserData is built for:

  • Finance and accounting teams
  • Data and analytics teams
  • Engineering teams supporting financial workflows
  • Companies processing large volumes of financial documents

If your workflows depend on clean, structured financial data, ParserData removes the manual work required to get there.

Philosophy

ParserData focuses on clarity, consistency, and correctness.

The goal is not just to extract text, but to deliver usable, validated data that fits directly into real-world financial systems and workflows.

🌍 Connect with ParserData

LinkedIn    X / Twitter    YouTube    Facebook

Pinned Loading

  1. parserdata-n8n-google-drive-extraction parserdata-n8n-google-drive-extraction Public

    Automated Google Drive → Parserdata extraction workflow using n8n

    3

  2. parserdata-curl-examples parserdata-curl-examples Public

    Parserdata API cURL examples for document data extraction

    3

  3. parserdata-python-invoice-batch parserdata-python-invoice-batch Public

    Python example for batch invoice extraction with the Parserdata API. Upload PDFs or images from a local folder and receive structured JSON output.

    Python 3

  4. parserdata-nodejs-example parserdata-nodejs-example Public

    Node.js example for the Parserdata Financial Data Extraction API.

    JavaScript 1

  5. parserdata-google-sheets-invoice-extractor parserdata-google-sheets-invoice-extractor Public

    Automatically extract invoice data from PDFs in a Google Drive folder and append structured results to Google Sheets using Parserdata API.

    JavaScript

  6. parserdata parserdata Public

    Intelligent Document Processing engine for financial documents. Extract structured data from invoices, receipts, and statements via API or UI.