AI Document Data Extraction, Reports & API

ParserData is an intelligent document-processing platform for extracting structured information from financial documents. It combines a no-code web interface with an API for extracting data from uploaded or linked files.

What it does

ParserData processes invoices, receipts, bank statements, and similar financial documents. According to the publisher, it supports PDF, JPG, PNG, WEBP, and other file formats, using AI to extract individual fields as well as line-item tables. Users can export results to Excel or CSV on all plans; JSON and XML exports are available on Business and Corporate plans.

The platform also includes reports and visualizations, AI-generated insights, and PDF report export on paid tiers. Its focus on financial records distinguishes it from broader document platforms such as DokuBrain, which covers additional document categories and workflow actions beyond the financial-document use cases described for ParserData.

Notable capabilities

• Extracts fields and line-item tables from invoices, receipts, and bank statements.
• Exports extracted data to Excel, CSV, JSON, or XML, depending on the plan.
• Generates reports, visualizations, AI-based insights, and PDF reports on supported paid tiers.
• Provides schema-based and prompt-based extraction through an authenticated API.
• Supports file uploads or file URLs in API requests.

Who it helps

ParserData is aimed at finance teams, operations staff, and businesses that need to collect structured data from recurring financial documents. It may also suit developers and automation specialists building document-processing workflows, ETL pipelines, ERP or CRM integrations, and backend services. The publisher specifically identifies automation platforms such as n8n, Make, and Zapier as API use cases.

How it fits a workflow

Users can process documents through the web interface or submit them programmatically. The documented API uses POST /v1/extract, with either a multipart file upload or a JSON request containing a file URL and extraction schema. Requests use an X-API-Key header, and the service returns structured JSON. API keys are created in the dashboard and can be revoked or rotated. The documentation recommends schema extraction when more stable structured output is needed. Direct HTTP calls are supported, while no official SDKs are documented.

Strengths and limits

ParserData combines financial-document extraction, multiple export formats, reporting, and API access in one service. Its published plans range from Free with 35 credits to Corporate with 2,500 credits; listed prices are $0, $25, $119, and $199 before tax, respectively. API usage is rate-limited and may return HTTP 429 responses, so automated implementations need retry and throughput handling. JSON and XML exports, as well as some reporting features, depend on the selected plan. (API documentation · product pricing)