Online Resume Parser

Overview

Online Resume Parser is an API suite for extracting structured information from CVs and job descriptions, then matching and ranking candidates. It is best suited to recruitment software teams and agencies that want to add those capabilities to an existing workflow. Its broad file support and EU-based processing make it a practical integration candidate, but the French-only generated fields and request constraints deserve close attention.

Key features

Five APIs cover CV extraction, job-criteria extraction, skills matching, candidate matching and candidate ranking. CV extraction can return contact details, work experience, education, languages, skills, certifications and interests, which gives ATS, job-board and sourcing products a substantial set of candidate fields to work with. The matching and ranking tools extend the suite beyond data capture, though ranking is capped at 10 candidates for one job.

Inputs include PDFs, office documents, spreadsheets, presentations, text files and common image formats: PDF, DOC, DOCX, ODT, PPT, PPTX, ODP, XLS, RTF, TXT, JPG/JPEG, PNG and BMP. The API uses HTTPS requests authenticated with an X-API-Key, supports optional webhook callbacks, and offers batch processing. Those options suit product integrations and larger recruitment workflows, but each encoded request must stay below 6 MiB; documents with more than 100,000 extracted characters return HTTP 422. Systems handling unusually large or dense files will need an exception path.

Job Extract criteria, Match explanations and Rank rationales are currently generated in French regardless of input language. That may be workable for teams able to consume French output, but is a material drawback for products that need localized explanations or rationales for users elsewhere.

Processing is based in the EU: resumes and uploaded files, including extracted photos, are stored in Paris, and AI processing remains in the EU through the provider’s 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. Parsing may use AWS Lambda and Amazon Bedrock, while job parsing, matching, skills matching and ranking use a provider-operated service with Amazon Bedrock. Teams should assess those processing arrangements and set the retention parameter deliberately.

Pricing

The Free plan has no published price and includes 50 credits per month, all APIs and supported formats, API key management, and no card requirement. It is a sensible way to assess integration and output before committing, but its monthly allowance is modest for sustained screening.

Starter costs €24 a month for 500 credits monthly, all APIs and supported formats, and API key management. Scale costs €89 a month for 2,000 monthly credits with the same listed API access and key management. Scale lowers the unit rate from €48 per 1,000 credits on Starter to €44.50 per 1,000, so it suits teams with consistently higher throughput; Starter is the lower-commitment paid option.

One-time packs do not reset monthly: 500 credits cost €29, paid once (€58 per 1,000 credits), 2,000 credits cost €99, paid once (€49.50 per 1,000), and 10,000 credits cost €449, paid once (€44.90 per 1,000). They cost more per credit than the comparable monthly options, but suit irregular workloads that do not need a recurring monthly allowance. Enterprise has custom monthly volume and integrations, with dedicated support, at custom pricing; it is the fit for organizations that need those arrangements rather than a fixed published quota.

Platforms

The product is available through API and web access. API access is central to its stated use in ATS, HR platforms, job boards, sourcing tools, staffing and recruitment agencies, and RPO providers.

Who it's for

Choose Online Resume Parser when a recruitment product or service needs one API suite for resume extraction, job criteria, matching and candidate ranking, especially if broad input formats and EU processing fit its requirements. It is less suitable when explanations and rationales must be generated in the input language, when individual requests may exceed the size or character limits, or when a ranking workflow needs more than 10 candidates per job.

Pros and cons

• Pros: Five APIs cover extraction through ranking, reducing the need to assemble those functions separately.
• Pros: Broad document and image support, plus batch requests and optional webhooks, gives integrators several ways to handle recruitment workflows.
• Pros: EU processing and a caller-controlled non-retention parameter provide useful controls for handling sensitive resume data.
• Cons: Three generated output types remain French regardless of input language, limiting localized use.
• Cons: The 6 MiB encoded-request cap, 100,000-character threshold and 10-candidate ranking ceiling constrain some workloads.
• Cons: The free allowance is 50 credits per month, and monthly paid plans carry recurring quotas that may not fit irregular demand.

Alternatives

For a wider comparison, browse Resume Parsing Software.

Doxis AI.dp is a paid option with a free trial and Android, iOS, API and web platforms; consider it if those platform choices suit your deployment better. DiscoverCloud Resume Parser offers a free plan and trial, API, self-hosted and web access, and free credits that include 40+ language parsing and 24x7 support; it may fit teams prioritizing those capabilities. DocuShell Resume Parsing API also has a free plan and trial across API and web, with a free tier that has no API access; consider it if an initial non-API evaluation is useful.

Parseur has a free plan and trial, with 20 pages per month, one user and 90-day document retention on its free tier; that may suit a low-volume, single-user workflow. RChilli Resume Parser offers a free plan and trial, including 40+ resume languages and 200+ fields on its free tier; consider it if language breadth or field coverage is the priority. Rezmatch.ai has a free plan with 100 starter credits and a stated screening estimate of about 11 resumes, making it another option for a bounded initial workload.

CV Parser API offers a free monthly tier with 50 CV parses and GraphQL API access, so it may suit teams specifically seeking that interface. Eden AI has no free plan and charges API usage separately at provider prices plus a 5.5% platform fee at checkout when purchasing credits; it may be preferable when that gateway pricing model fits better.

Verdict

Online Resume Parser is a strong fit for recruitment platforms and agencies that want extraction, matching and ranking in one integration, with broad file support and EU-based processing. Its main case for selection is that end-to-end API coverage; its main reason to look elsewhere is the French-only generated criteria, explanations and rationales, compounded by request and ranking limits that may not match every workflow.