Best Resume Parsing Software in 2026

Eden AI suits companies that want to test, compare, or switch among AI providers through one API rather than integrating each separately.

Doxis AI.dp suits organizations that process large volumes of documents or need configurable extraction and review workflows.

It is aimed at developers building resume, job-search, application, or interview workflows, including AI agent developers.

Parseur

Parseur suits teams that need to extract document data and pass it to business tools, including in accounts payable, logistics, HR or real estate.

Affinda Resume Parser

The parser is aimed at ATS, job board, and HR technology teams embedding candidate data extraction in their products.

Rezmatch.ai is aimed at developers building hiring products such as applicant tracking systems, job boards, staffing platforms, and recruiting tools.

Airparser

Airparser suits teams that need to extract fields from varied documents, route uncertain results for review, and send structured data into spreadsheets, apps, or APIs.

CV Parser API

It suits developers, recruiters, hiring teams, HR teams, and product teams building recruiting workflows.

The API is aimed at ATS and recruiting platforms, job boards, sourcing tools, and HR-tech or HRIS products.

CVParser.AI

CVParser.AI suits teams that want to send CVs to an API and store the returned data in their own database.

Hirize suits startups, HR SaaS providers, enterprise teams, and hiring groups that need resume data extraction.

Resume Mapper is aimed at job portals, ATS vendors, recruitment agencies, HR departments, developers, freelancers, and HR-tech startups.

Online Resume Parser

It suits recruitment and HR software providers, job boards, sourcing tools, staffing agencies, recruitment agencies, and RPO providers that need CV parsing and candidate matching through APIs.

OpenResumeParser suits teams or developers needing self-hosted resume parsing and basic skill matching through a CLI or API.