DigiParser

Free Trial
DigiParser – Extract data from documents and emails
$29/month

Turn PDFs, emails, scans and handwritten documents into structured data with ultra-accurate OCR that automates workflows and integrates with 5000+ apps

Category:: Data Extraction
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Document Automation and Data Extraction

AI OCR and Document Parsing Platform

  • Pre trained OCR that reads PDFs, images, scans, emails, and many handwritten forms

  • Layout detection and field extraction using templates or custom schemas

  • Confidence scoring with human in the loop review and approval rules

  • Async API for large files with JSON, CSV, and Excel outputs

  • Workflow builder to route parsed data to accounting, CRM, or storage apps

DigiParser centralizes document intake, parsing, review, and export so teams can turn invoices, receipts, bank statements, IDs, payroll, and contracts into structured data. You start by choosing a prebuilt template or defining a custom schema, then upload files, email them in, or pass URLs via API. The platform detects regions, tables, and key fields, applies its OCR models, and returns clean JSON or CSV that is ready for reconciliation, approvals, or entry into downstream apps.

A no code workflow builder handles the plumbing. You can set rules to auto import from cloud drives or mailboxes, validate values against thresholds or formats, flag edge cases for review, and trigger exports through webhooks or app connectors. For finance, parsed invoices can flow to QuickBooks or Xero with vendor, dates, line items, taxes, and totals mapped. For sales operations or onboarding, parsed forms and IDs can sync to a CRM or Google Sheets for team review.

Teams get role based access, audit logs, and a review queue so operators can correct low confidence fields and publish final results. Developers can use a straightforward REST API to submit files, check status, and fetch both key value and raw object outputs. Security controls and hosted infrastructure reduce the lift for small teams while leaving room to scale through higher volume plans, custom models, and SSO. The end result is faster throughput, fewer manual keystrokes, and consistent records across systems without building and maintaining custom parsers from scratch.

  • Prebuilt templates for invoices, receipts, IDs, payroll, contracts, loans

  • Custom schemas, validation rules, and review queue with confidence scores

  • REST API for file and URL processing with async support

  • JSON, CSV, and Excel export plus webhooks

  • Integrations for QuickBooks, Xero, Salesforce, Google Drive, Google Sheets, and more

  • 5000 plus app connections through integration hubs

  • Role based access, audit logs, and SOC 2 aligned security notes

  • Setup — Easy for owner or ops: Create a workspace, pick a template, connect a drive or inbox, run a first parse. You can be live the same day without engineering.

  • Daily use — Easy for operators and accountants: Quick pass to review suggested fields, approve or edit low confidence results, and publish to your ledger or sheet.

  • Collaboration — Easy to moderate for finance and ops: Role based invites, review queue, and comments support clean handoffs from intake to approval to export with a short walkthrough per role.

  • Integrations — Moderate for an operator: Drive, email, and Sheets connect quickly. Accounting and CRM tools require field mapping and a test sync. A couple of hours and you are operational.

  • Admin — Light to moderate for an owner or advisor: Periodic rule tuning, template updates, and user reviews. Ongoing upkeep stays light once flows and mappings are set.

  • SMB controllers, bookkeepers, and AP teams that process invoices and receipts

  • Operations managers who reconcile POs, delivery notes, and vendor paperwork

  • Lending and fintech teams that extract data from bank statements and IDs

  • HR and recruiting teams that parse timesheets and employee documents

DigiParser brings AI OCR, templates, validation, review, and integrations into one workflow. It converts messy documents into clean data, pushes results to the tools you already use, and helps small teams scale throughput without hiring more data entry staff.

 

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