What is ApyHub?

Invoice Parsing API extracts structured invoice data from DOC, PDF, and image files in a single API call, enabling developers to add automated accounts‑payable functionality to their applications. The service returns key fields such as vendor name, invoice number, dates, line items, totals, and tax amounts, eliminating manual data entry.

By integrating the API into finance workflows, teams can accelerate processing, reduce errors, and improve reconciliation speed. The parser handles diverse file formats and supports high‑volume batch processing for enterprise accounting systems. It also provides customizable field mapping and validation rules to match specific business requirements.

ApyHub pricing Subscription

Starter €0/mo
Pro ₮15/mo
Pro + ₮40/mo
Team ₮80/mo
Scale ₮250/mo

ApyHub user reviews

Based on 5 reviews, 100.0% of users recommend ApyHub, rated highly for value for money.

5
recommend
0
don't
5 reviews

Liked for

Worth the price 4 of 5
Good integrations 4 of 5
Easy to use 3 of 5
Quality results 2 of 5
All key features 1 of 5
Would you recommend ApyHub?

ApyHub's key features

  • Invoice Parsing API
  • Resume/CV Job Match Score API
  • URL Detector API
  • Resume Parser API
  • Job Description Generator API
  • Related Job Positions Generator API
  • Product Category Generator API

ApyHub use cases

  • Automate accounts payable by uploading scanned or PDF invoices to the API, instantly extracting vendor, invoice number, dates, line items, totals, and tax, then pushing the data directly into your ERP for real‑time reconciliation
  • Batch process thousands of image, PDF, or DOC invoices in a single API call, automatically extracting structured data to populate accounting systems and drastically cutting manual entry time
  • Integrate the parsing API with expense management tools to capture receipt details and populate employee expense reports on the fly, accelerating approval workflows and ensuring compliance

Who is it for?

  • Software developers
  • Application creators
  • Data analysts
  • Machine learning engineers
  • System administrators

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