Resume Reader API
Resume Reader API parses resumes into structured candidate JSON for recruiting and HR workflows.
What Resume Reader API is
Resume Reader API parses resumes into structured candidate JSON for recruiting and HR workflows. Its Schema v2 covers 114 fields, including contact details, career history, education, skills, languages, certifications, projects, awards, and publications. It accepts formats such as PDF, DOCX, TXT, RTF, HTML, ODT, spreadsheets, and images or scanned documents through OCR; files can be up to 10 MB and resumes up to 20 pages. The REST API uses a single POST endpoint with JSON input and output, and the product says no SDK or webhooks are required. Parsing costs one credit for resumes up to 10 pages and two for longer documents; calls are capped at 20 pages and 30,000 tokens. Results include a model confidence score, and fields lacking resume evidence are returned as null or empty arrays. Anonymization and exclusion of sensitive fields are available. Paid plans start with Pro at $99 a month for 5,000 credits and 5,000 parsed resumes.
Good
- Schema v2 covers 114 fields
- OCR supports images and scanned documents
- Returns a model confidence score
- Anonymization can replace personal identifiers
- Plans include normalization at 0.1 credits per item
Watch out
- No free plan is available
- Calls are limited to 20 pages and 30,000 tokens
- Requests are limited to 30 per 60 seconds per IP
Who it suits
Resume Reader API suits recruiting and HR teams that need to turn resumes into structured data through an API. Its anonymization and sensitive-field options may help teams handling candidate information.
Verdict
Resume Reader API provides structured resume parsing, OCR, and optional anonymization for recruiting workflows. Check its file, page, token, and request limits against your expected volume.
Plans and prices
From Resume Reader API's own pricing page, checked 30 Sep 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Pro | $99 a month | 5,000 credits · 5,000 parsed resumes · normalization 0.1 credits/item · $ 99 /month |
| Pro Plus | $249 a month | 12,500 credits · 12,500 parsed resumes · normalization 0.1 credits/item · $ 249 /month |
| Advanced | $499 a month | 25,000 credits · 25,000 parsed resumes · normalization 0.1 credits/item · $ 499 /month |
| Advanced Plus | $999 a month | 50,000 credits · 50,000 parsed resumes · normalization 0.1 credits/item · $ 999 /month |
| Business | $1,997 a month | 100,000 credits · 100,000 parsed resumes · normalization 0.1 credits/item · $ 1997 /month |
| Enterprise | $3,999 a month | 200,000 credits · 200,000 parsed resumes · normalization 0.1 credits/item · $ 3999 /month |
The facts
Each one read from Resume Reader API's own pages, with the date it was checked.
What it does
- Anonymization
- Anonymization can replace personal identifiers in output with placeholders, and Schema v2 can exclude sensitive fields entirely.checked 30 Sep 2026
- Evidence handling
- Fields without evidence in the resume are returned as null or empty arrays, and responses include a model confidence score.checked 30 Sep 2026
- File support
- It accepts PDF, DOCX, TXT, RTF, HTML, ODT, XLSX/XLS, and images or scanned documents via OCR, with files up to 10 MB and resumes up to 20 pages.checked 30 Sep 2026
- Integration
- The product provides a REST API with a single POST endpoint and JSON input and output, and says no SDK or webhooks are required.checked 30 Sep 2026
- Languages
- It supports resumes in any major language and offers an optional language hint; output field names remain in English by default.checked 30 Sep 2026
- Normalization
- Separate endpoints normalize job titles, skills, and locations for 0.1 credits per item, with batches of up to 100 items per call.checked 30 Sep 2026
- Payment and cancellation
- The maker says it accepts PayPal and major credit cards and that subscriptions can be canceled at any time.checked 30 Sep 2026
- Privacy
- The pricing FAQ describes anonymization and structured JSON as supporting GDPR-conscious sharing and handling of data subject requests.checked 30 Sep 2026
- Purpose
- The API parses resumes into structured candidate JSON for recruiting and HR workflows.checked 30 Sep 2026
- Rate limit
- Requests are limited to 30 per 60 seconds per IP.checked 30 Sep 2026
- Schema
- Schema v2 contains 114 fields covering contact details, career history, education, skills, languages, certifications, projects, awards, and publications.checked 30 Sep 2026
- Support
- The pricing page describes the Enterprise plan as offering maximum capacity and support.checked 30 Sep 2026
- Usage limits
- Parsing uses 1 credit for resumes up to 10 pages and 2 credits for documents over 10 pages; hard limits are 20 pages and 30,000 tokens per call.checked 30 Sep 2026
The company
- Headquarters
- Munich, Germanychecked 28 Sep 2026
- Maker
- The site identifies Alpha Quantum and gives its address as Franz-Joseph-Str. 11, 80801 Munich, Germany.checked 30 Sep 2026
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