theresumeparser.com

What It Is

The Resume Parser is an intelligent resume API for HR Tech. Its goal is not merely to “convert resumes into JSON,” but to provide an end-to-end pipeline covering parsing, OCR, skill enrichment, and job matching. It supports PDF, DOCX, TXT, Markdown, and image/scanned inputs, and outputs candidate profiles, work experience, education, skills, AI summaries, raw text, metadata, and—when a job description is provided—match scores, matched skills, and missing skills.

Core Capabilities and Developer Experience

Its developer positioning is clear: create requests via REST API, poll by ID, and receive stable JSON responses. It supports file uploads, URLs, raw text, and pre-parsed JSON. Asynchronous request history, stage-level status, errors, metadata, and credits usage are valuable for troubleshooting in production. Skill extraction supports normalization against a 32k+ taxonomy, and can return proficiency, years of experience, and confidence scores. On the security side, the site mentions TLS 1.3, AES-256, GDPR/CCPA, a default 30-day data retention period that can be configured or deleted via API, and prompt injection detection.

Pricing

Pricing combines a monthly subscription with credits: Beginner is $10/month and includes 500 credits, while Professional is $50/month and includes 5,000 credits. Both tiers use the same API and JSON schema; the differences are usage volume and page limits. Basic parsing costs around 1 credit, standard parsing 3 credits; basic parsing plus matching costs 2 credits, matching with pre-parsed JSON or raw text costs 1 credit, and advanced parsing plus matching costs 12 credits. The rules are clear, but OCR, advanced AI conversion, prompt injection detection, and advanced matching consume additional credits, so real-world costs need to be estimated based on your traffic and workflow.

Pros and Cons

The strengths are its comprehensive fields for recruitment data scenarios, making it suitable for ATS, CRM, recruiting tools, and LLM workflows. The consistent API surface makes it easy to move from testing to production, and previously parsed JSON can be reused for matching against new roles, reducing duplicate costs. The drawbacks are that it does not disclose details on self-hosting, enterprise SLA, data residency regions, rate limits, Webhooks, or official SDK packages. The free trial is also unclear: there is only a public demo and trial evaluation appears to require contacting the team.

Who It’s For and China Access

It is suitable for individual developers, small HR tools, recruitment agencies, and teams building ATS or candidate matching features. Access from mainland China, payment methods, and network stability are not specified on the site, so china_access can only be marked as unknown. If you require local compliance or intranet deployment, you should evaluate Affinda, RChilli, DaXtra, or build an alternative in-house solution based on OCR + LLM.