Online Resume Parser

Online Resume Parser by HireLayer provides APIs that convert CVs and job descriptions into structured JSON, then support candidate matching and ranking. Its five APIs cover CV extraction, job criteria extraction, skills matching, candidate matching, and candidate ranking. Extracted resume information can include contact details, work experience, education, languages, skills, certifications, and interests. Inputs include document, spreadsheet, presentation, text, and image formats such as PDF, DOC, DOCX, ODT, PPT, PPTX, ODP, XLS, RTF, TXT, JPG/JPEG, PNG, and BMP. Requests use HTTPS and an X-API-Key; an optional webhook callback is supported. The service is positioned for ATS and HR platforms, job boards, sourcing tools, staffing and recruitment agencies, and RPO providers. The company says files and extracted photos are stored in Paris and AI processing stays in the EU. Callers can set do_not_store_data to true, though it defaults to false. Encoded requests must be under 6 MiB; documents over 100,000 extracted characters return HTTP 422. Job Extract criteria, Match explanations, and Rank rationales are generated in French regardless of input language. Rank handles up to 10 candidates per job. Plans include 50 monthly credits free; paid plans start at €24.00 per month.

Online Resume Parser combines resume and job-description extraction with matching and ranking APIs. Its limits on request size, document length, ranking batch size, and generated-language output are important to check against an integration’s needs.

It suits ATS and HR software platforms, job boards, sourcing tools, staffing and recruitment agencies, and RPO providers that need API-based parsing or candidate ranking. Developers should consider the request-size limits and French-only generated criteria, explanations, and rationales.

Online Resume Parser is a set of APIs for extracting resume and job data, matching candidates, and ranking them. It is best suited to recruitment software providers and agencies adding these capabilities to an existing workflow. Its broad file support and range of APIs are useful, but French-only generated text and firm processing limits can rule it out for some integrations.

Overview

The product combines five APIs: CV extraction, job-criteria extraction, skills matching, candidate matching, and candidate ranking. That breadth can help ATS and HR platforms, job boards, sourcing tools, staffing and recruitment agencies, and RPO providers build several hiring steps into one integration. It is less compelling for teams seeking a ready-to-use standalone recruiting system rather than API access.

Key features

Resume extraction can return contact details, work experience, education, languages, skills, certifications, and interests. The API accepts PDF, DOC, DOCX, ODT, PPT, PPTX, ODP, XLS, RTF, TXT, JPG/JPEG, PNG, and BMP files, making it adaptable to varied document intake. HTTPS requests use an X-API-Key, with optional webhook callbacks; batch processing is supported. These integration options suit products handling recurring candidate workflows.

There are meaningful boundaries to plan around. Encoded requests must stay under 6 MiB, and documents with more than 100,000 extracted characters return HTTP 422. The Rank API handles no more than 10 candidates for one job, which limits its use for larger ranking pools. Job Extract criteria, Match explanations, and Rank rationales are generated in French regardless of input language, a significant drawback for teams that need those outputs in another language.

Privacy and processing

Resume parsing may use AWS Lambda and Amazon Bedrock; job parsing, matching, skills matching, and ranking use a provider-operated service with Amazon Bedrock. The site says uploaded resumes and extracted photos are stored in Paris, France, and AI processing remains in the EU through its in-house pipeline. Callers can set do_not_store_data to true when parsed data must not be retained; it defaults to false. The privacy policy describes technical and organizational safeguards and says submitted resume and job content is not used for advertising. Teams should account for the default retention setting when designing a privacy-sensitive integration.

Pricing

The free plan provides 50 credits per month, all APIs and supported formats, and API key management, with no card required. It is a useful way to begin with a small recurring volume, but the 50-credit monthly allowance is the main constraint. The Starter plan costs €24 a month for 500 credits per month, all APIs and supported formats, and API key management; its rate is €48 per 1,000 credits. Scale costs €89 a month for 2,000 monthly credits with the same stated API and format access, at €44.50 per 1,000 credits. Scale is better suited to sustained higher volume, while Starter asks less upfront but provides fewer credits.

One-time credit packs do not reset monthly: 500 credits cost €29, paid once (€58 per 1,000 credits), 2,000 cost €99, paid once (€49.50 per 1,000), and 10,000 cost €449, paid once (€44.90 per 1,000). They suit variable or occasional demand better than a monthly allowance, though the per-credit cost is higher than the monthly plans. Enterprise offers custom monthly volume and integrations, plus dedicated support, with custom pricing.

Platforms

Online Resume Parser is available via API and web. Its API access, batch processing, and optional webhooks make it a fit for software teams integrating parsing into their own services; the listed platform mix does not include a mobile app.

Who it's for

Choose it if you operate an ATS, HR platform, job board, sourcing product, staffing or recruitment agency, or RPO service and need a broad set of extraction and matching APIs. It is a weaker fit if your workflow requires generated criteria or explanations in a language other than French, routinely ranks more than 10 candidates per job, or sends documents that exceed the request or character limits.

Pros and cons

• Pro: Five APIs cover resume extraction through candidate ranking, reducing the need to assemble each capability separately.
• Pro: Support for office documents, text, and common image formats accommodates varied candidate-file inputs.
• Pro: A 50-credit free monthly plan and no-card requirement allow a small-volume start.
• Con: Generated job criteria, match explanations, and ranking rationales are French-only, limiting multilingual workflows.
• Con: The 6 MiB request ceiling, 100,000-character document ceiling, and 10-candidate ranking cap require integration safeguards.
• Con: Data retention is on by default unless callers set do_not_store_data to true.

Alternatives

For a broader comparison, browse Resume Parsing Software. Consider Doxis AI.dp if Android or iOS support matters; it has a free trial but no free plan. DiscoverCloud Resume Parser may suit teams looking for self-hosted deployment and 40+ language resume parsing, with a free-credit option and trial. RChilli Resume Parser is another option for teams prioritizing 40+ resume languages, OCR, and 200+ resume fields, with free credits and a trial. Rezmatch.ai offers a 100-credit free plan, approximately 11 screenings, a 60-request-per-minute limit, and support for resumes up to two pages; it may fit a smaller screening workflow. CV Parser API is worth considering if GraphQL access and a stated allowance of 50 free parses per month are a better match. DocuShell Resume Parsing API provides a free plan without API access, so it may suit an initial web-based evaluation rather than an API integration. Parseur offers a free plan capped at 20 pages per month, one user, and 90-day document retention. OpenResumeParser is a free, MIT-licensed project for users who prefer a self-hosted option.

Verdict

Online Resume Parser is a sensible choice for recruitment platforms and agencies that want extraction, matching, and ranking APIs under one roof, with broad file input support and a low-volume free tier. Choose another tool if French-only generated text, the 10-candidate ranking ceiling, or the request and document limits conflict with your workflow.