ParseForMe - Turn any document into clean, structured data in seconds
Launched on Sep 4, 2026ParseForMe is a document parsing tool that converts uploaded PDFs, scans, images and forms into structured, usable data in seconds. It is built for teams in HR, accounting, finance and operations to eliminate manual data entry and reduce human errors during document processing. The platform supports a wide range of document types including invoices, receipts, resumes, contracts, ID documents and custom layouts, with field-level confidence scoring for validation.


Core Features
ParseForMe processes documents end to end without manual data entry. Every extracted field includes a confidence score to flag uncertain values for review, reducing avoidable data errors. The platform supports bulk document processing, so teams can scale from a few files to thousands per day without adding extra headcount.
It includes encryption, access controls and audit trails for sensitive document handling, to protect business and user data throughout the parsing workflow.
Step-by-Step Parsing Workflow
Upload: Users can drop PDFs, scans, images and forms directly into the platform, or connect via folders, inboxes or API endpoints. All common document types are supported out of the box.
Understand: The tool reads each document's text, type, layout and structure to identify the exact document category, such as invoice, receipt or ID card.
Extract: Key values including names, dates, totals, identifiers and line items are pulled into separate structured fields, each assigned a confidence score.
Standardize: All extracted values are validated and converted to match the user's predefined schema. Any entries with low confidence are flagged for quick manual review.
Deliver: Clean structured data is sent directly to the user's selected destination, including spreadsheets, databases, connected tools and custom workflows, in their required format.
Target Use Cases
ParseForMe is built for teams handling regular document processing work:
Recruiting & HR: Parse stacks of resumes into structured candidate data, and export results directly to existing applicant tracking systems.
Accounting & Finance: Extract data from invoices, bank statements and receipts, then export cleaned rows to Excel or accounting platforms.
Operations & Logistics: Process shipping paperwork, bills of lading, packing lists and purchase orders to build centralized, trackable shipment registers.
Pricing Plans
All plans include 30 free tokens for new users on sign up, with no credit card required to get started:
Starter ($19/month): Approx 500 pages of standard OCR parsing, full access to all export formats, up to 10 custom field maps. Suitable for small teams testing resume or document parsing.
Growth ($59/month, most popular): Approx 2,500 pages of parsing, all export formats, up to 50 field maps, plus connectors and webhooks access. Built for small HR teams running regular weekly batches of documents.
Scale ($199/month): Approx 10,000 pages with AI parsing support, all export formats, unlimited field maps, SSO, audit logs, usage analytics and full API access. Designed for teams with high-volume document processing pipelines.
Integrations & Export Options
Extracted data can be exported directly as JSON, CSV, or XLSX, or delivered automatically via webhook to external tools. Users can define custom field maps once, then reuse them for all subsequent documents of the same type.
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