ParseForMe
ParseForMe helps people turn invoices, receipts, contracts, and other documents into structured data instantly — no manual data entry required.
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About ParseForMe
What ParseForMe Does
ParseForMe is an API-first document parsing platform that converts unstructured documents into clean, structured data. Instead of manually retyping information from invoices, receipts, contracts, resumes, and IDs into spreadsheets or internal systems, users can send a document to ParseForMe and get back structured JSON, CSV, or XLSX in seconds.
Core Capabilities Document parsing across invoices, receipts, bank statements, contracts, resumes, and identification documents Flexible export formats — JSON, CSV, or XLSX depending on the workflow API-first design, so parsing can be embedded directly into existing products, internal tools, or automation pipelines Integrations with tools businesses already use, including QuickBooks, Excel, and Zapier Simple, token-based pricing, starting at $19/mo, with no per-seat complexity Workflow
A typical workflow looks like this: a document (PDF, image, or scan) is sent to ParseForMe via the API or dashboard, the platform extracts and structures the relevant fields, and the result is returned in the requested format — ready to plug into a database, spreadsheet, or downstream system. This removes the manual step of a human reading a document and typing its contents elsewhere.
Who It's For
ParseForMe is built for:
Accounting and bookkeeping teams processing high volumes of invoices and receipts Recruitment and HR teams handling large volumes of candidate documentation Operations and back-office teams looking to cut down on manual data entry Developers and SaaS companies who want to embed document parsing directly into their own products via API Why It's Useful
Manual document processing is slow, repetitive, and error-prone — especially at scale. ParseForMe removes that bottleneck, giving teams back the time they'd otherwise spend on tedious data entry, while reducing the mistakes that come with manual transcription. It's built by AutonomyXAI, and the idea came from a real, firsthand need to solve this exact problem at scale.
