ATS Reference
Resume Parse
Resume Parse is a dedicated API for resumes. It uses the same deterministic Parse PDF pipeline behind the scenes, applies resume-optimized fixed settings, and returns structured result.resume data for ATS, HR tech, recruiting, and talent operations.
Endpoint
/v1/resume/parse
Multipart upload route for ATS-ready resume extraction.
Credits
1,000
Lower-cost deterministic resume extraction for ATS and recruiting workflows.
AI / LLM
None
Parser output plus deterministic DocuShell mapping only.
Section
Parse PDF Versus Resume Parse
Use Parse PDF when you want general-purpose document extraction, parser tuning controls, and artifact-first output for reports, invoices, papers, forms, or mixed business PDFs.
Use Resume Parse when the input is a resume and your application needs ATS-friendly fields such as candidate identity, contact channels, normalized skills, normalized experience, normalized education, projects, keywords, date ranges, confidence scores, and warnings.
Resume Parse is not an AI layer. It runs the deterministic Parse pipeline, fixes the parser settings that work best for resumes, then maps the extracted text into a resume-specific response shape.
- Parse PDF response focus:
result.documentand downloadable artifacts. - Resume Parse response focus:
result.resumeplusresult.raw.documentfor QA. - Parse PDF exposes parser knobs; Resume Parse keeps them fixed to protect section detection quality.
Section
ATS Fields
These are the structured fields developers and businesses should integrate first.
| Field | Shape | Use |
|---|---|---|
| candidate | name, headline, location | Candidate profile cards, CRM records, and dedupe flows. |
| contact | emails[], phones[], links[] | Recruiter outreach, enrichment, and candidate matching. |
| skills | string[] | Normalized skill indexing, filtering, and job matching. |
| experience | objects[] | Work history import with title, company, dates, current flag, description, and bullets. |
| education | objects[] | Education import with institution, degree, dates, graduation date, location, and description. |
| sections | summary, skills, experience, education, projects, and more | ATS import, review UI, search indexing, and compliance exports. |
| ats.keyword_text | normalized string | Keyword search, matching, and analytics pipelines. |
| ats.section_coverage | string[] | Quality checks for missing resume sections. |
| ats.date_ranges | string[] | Timeline extraction and review hints. |
| ats.confidence | name/contact/sections/overall | Best-effort confidence display and routing decisions. |
| ats.warnings | string[] | Missing-field and extraction-quality warnings. |
Section
Deterministic Settings
Resume Parse hardcodes the parser settings that the resume profile expects. Callers cannot toggle sanitization, reading order, table method, structure-tree usage, output mode, or line-break preservation on this route.
This keeps ATS output predictable. For example, sanitize=false preserves emails and phone numbers, keep_line_breaks=true improves heading and section detection, and formats always includes JSON, Markdown, and text even when callers request only an extra debug artifact.
/v1/parse instead of /v1/resume/parse.Reference
Endpoint Reference
POST/v1/resume/parse
Submit a resume PDF for queued deterministic parsing and receive ATS-focused structured candidate data under result.resume.
Auth
Bearer token required on submit, status, and artifact download requests.
Idempotency
Server-minted job_id values with optional Idempotency-Key replay support.
Content Type
multipart/form-data
Headers
| Name | Type | Required | Location | Description |
|---|---|---|---|---|
| Authorization | Bearer <API_KEY> | Yes | header | User-owned API key created in the DocuShell dashboard. |
| Idempotency-Key | string | No | header | Recommended for safely retrying submit requests without creating duplicate jobs. |
Request Fields
| Name | Type | Required | Location | Description |
|---|---|---|---|---|
| file | file | Yes | multipart | Resume PDF upload. The gateway validates PDF magic bytes before forwarding the file. |
| file_name | string | No | multipart | Optional file name override used for storage metadata and downstream artifact names. |
| page_range | string | No | multipart | Optional comma-separated pages or ranges such as 1-2. Resume Parse accepts at most 5 selected pages; use this when a resume PDF contains extra cover pages or attachments. |
| formats | `json` | `markdown` | `html` | `text` | `annotated_pdf` | No | multipart | Optional extra artifact list. Resume Parse always includes json, markdown, and text internally; requested extras such as annotated_pdf are unioned in. |
Request Notes
- Resume Parse uses the same parse-pdf backend queue and worker as
/v1/parse, but the public contract is distinct and returnsservice: "resume-parse". - Parser tuning is intentionally fixed for ATS extraction:
include_header_footer=false,use_struct_tree=true,sanitize=false,reading_order=xycut,table_method=cluster,keep_line_breaks=true, andoutput_mode=all. - Resume Parse accepts up to 5 pages per resume. For longer documents, submit a page range of 5 pages or fewer, or use
/v1/parsefor general PDF extraction. - The mapper is deterministic only: parser output plus DocuShell regex, heading detection, date-range extraction, and section heuristics. No AI or LLM is used.
- Resume Parse costs 15 credits per queued job.
- Scanned or image-only resumes currently return
ocr_requireduntil OCR is enabled.
Multipart submit
bash
curl -X POST "https://api.docushell.com/api/v1/resume/parse" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Idempotency-Key: resume-demo-001" \
-F "file=@./sample-smart-and-secure-resume.pdf;type=application/pdf" \
-F "file_name=sample-smart-and-secure-resume.pdf"Request annotated debug output too
bash
curl -X POST "https://api.docushell.com/api/v1/resume/parse" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Idempotency-Key: resume-debug-001" \
-F "file=@./resume.pdf;type=application/pdf" \
-F "formats=annotated_pdf"Try It Now
Console placeholder for safe sandbox execution.
Queued response
json
{
"job_id": "job_01JX8Y5YJ2M2D8N1AQ5F7Q3KVT",
"status": "queued",
"cost": 1000,
"service": "resume-parse",
"request_id": "req_01JX8Y62XCDNZ2BM7TBM2M9Q8E",
"links": {
"status": "/v1/jobs/job_01JX8Y5YJ2M2D8N1AQ5F7Q3KVT"
}
}Resume parse status
json
{
"job_id": "job_01JX8Y5YJ2M2D8N1AQ5F7Q3KVT",
"status": "done",
"service": "resume-parse",
"request_id": "req_01JX8Y62XCDNZ2BM7TBM2M9Q8E",
"result": {
"resume": {
"candidate": {
"name": "RAM KUMAR",
"headline": "XXPosition/TitleXX",
"location": "xCityx, xStatex"
},
"contact": {
"emails": ["[email protected]"],
"phones": ["00.00000000"],
"links": []
},
"skills": [
"Process Improvement",
"Operations Management",
"Project Management",
"Strategic Planning"
],
"experience": [
{
"title": "xxTitlexx",
"company": "xxCompanyNamexx",
"location": "xCityx, xStatex",
"start_date": "April 2014",
"end_date": "Current",
"current": true,
"date_range": "April 2014 - Current",
"description": "Lorem ipsum dolor sit amet, consectetur adipiscing elit.",
"bullets": ["Lorem ipsum dolor sit amet, consectetur adipiscing elit."]
},
{
"title": "xxTitlexx",
"company": "xxCompanyNamexx",
"location": null,
"start_date": "October 2011",
"end_date": "March 2014",
"current": false,
"date_range": "October 2011 - March 2014",
"description": "Lorem ipsum dolor sit amet, consectetur adipiscing elit.",
"bullets": ["Lorem ipsum dolor sit amet, consectetur adipiscing elit."]
}
],
"education": [
{
"institution": "Symbiosis Institute of Management Studies",
"degree": "Masters, Business Administration",
"field": null,
"start_date": null,
"end_date": null,
"graduation_date": "July 2010",
"location": "West Pune, Maharashtra",
"description": "Masters, Business Administration..."
}
],
"sections": {
"summary": "Multi-page resume profile with business and operations experience...",
"skills": "Process Improvement, Operations Management, Project Management, Strategic Planning",
"experience": "WORK EXPERIENCE April 2014 - Current...",
"education": "Masters, Business Administration...",
"projects": "PROJECTS Project Name...",
"certifications": "CERTIFICATIONS Certification Name...",
"awards": null,
"publications": null,
"languages": "LANGUAGES Language...",
"volunteering": null,
"other": "REFERENCES Available on request."
},
"ats": {
"keyword_text": "process improvement operations management project management strategic planning",
"section_coverage": ["skills", "experience", "education", "projects", "certifications", "languages", "other"],
"date_ranges": ["April 2014 - Current", "October 2011 - March 2014"],
"confidence": {
"name": 0.8,
"contact": 1,
"sections": 1,
"overall": 0.93
},
"warnings": []
}
},
"raw": {
"document": {
"fileName": "sample-smart-and-secure-resume.pdf",
"numberOfPages": 5,
"kids": []
}
},
"artifacts": {
"markdown_download": "/v1/jobs/job_01JX8Y5YJ2M2D8N1AQ5F7Q3KVT/download?format=markdown",
"json_download": "/v1/jobs/job_01JX8Y5YJ2M2D8N1AQ5F7Q3KVT/download?format=json",
"text_download": "/v1/jobs/job_01JX8Y5YJ2M2D8N1AQ5F7Q3KVT/download?format=text"
},
"metadata": {
"engine": "docushell_parse",
"output_mode": "all",
"formats": ["json", "markdown", "text"],
"use_struct_tree": true,
"sanitize": false,
"reading_order": "xycut",
"table_method": "cluster",
"keep_line_breaks": true
}
},
"links": {
"status": "/v1/jobs/job_01JX8Y5YJ2M2D8N1AQ5F7Q3KVT",
"download": "/v1/jobs/job_01JX8Y5YJ2M2D8N1AQ5F7Q3KVT/download"
}
}JSON artifact download
bash
curl "https://api.docushell.com/api/v1/jobs/job_01JX8Y5YJ2M2D8N1AQ5F7Q3KVT/download?format=json" \
-H "Authorization: Bearer YOUR_API_KEY"Resume Markdown artifact
bash
curl "https://api.docushell.com/api/v1/jobs/job_01JX8Y5YJ2M2D8N1AQ5F7Q3KVT/download?format=markdown" \
-H "Authorization: Bearer YOUR_API_KEY"Resume plain text artifact
bash
curl "https://api.docushell.com/api/v1/jobs/job_01JX8Y5YJ2M2D8N1AQ5F7Q3KVT/download?format=text" \
-H "Authorization: Bearer YOUR_API_KEY"Annotated PDF debug artifact download
bash
curl "https://api.docushell.com/api/v1/jobs/job_01JX8Y5YJ2M2D8N1AQ5F7Q3KVT/download?format=annotated_pdf" \
-H "Authorization: Bearer YOUR_API_KEY" \
--output document.annotated.pdfArtifacts
result.resume.candidatecontains name, headline, and location when detected.result.resume.contactcontains deduplicated emails, phones, and classified links such as LinkedIn, GitHub, and portfolio URLs.result.resume.skillscontains normalized, deduplicated skills from the skills section.result.resume.experiencecontains normalized experience entries with title, company, location, dates, current-job flag, description, and bullets when detected.result.resume.educationcontains normalized education entries with institution, degree, field, dates, graduation date, location, and description when detected.result.resume.sectionsis a fixed object of ATS-oriented sections such as summary, skills, experience, education, projects, certifications, awards, publications, languages, volunteering, and other.result.resume.atsincludes normalized keyword text, detected section coverage, date ranges, confidence scores, and warnings for missing fields.result.raw.documentexposes the underlying Parse document tree for QA and fallback extraction.- JSON, Markdown, and text artifacts are always generated for Resume Parse; optional HTML or annotated PDF artifacts can be requested through
formats.
Poll And Download
- Poll
GET /v1/jobs/:jobIduntilstatusbecomesdoneorfailed. - When the job completes, read structured resume data from
result.resume. - Use
GET /v1/jobs/:jobId/download?format=json|markdown|textfor the underlying artifacts. Addformats=annotated_pdfat submit time when you need the visual debug artifact.
Failure Notes
invalid_pdf,corrupt_pdf, andpassword_protectedmirror the Parse PDF failure behavior.ocr_requiredmeans the resume did not expose enough extractable text. Run OCR upstream before retrying.invalid_page_rangeis returned when the submitted selector is malformed or selects no valid pages.page_limit_exceededis returned when the selected pages exceed the Resume Parse 5-page cap.server_busyorbackend_unavailableindicate temporary capacity problems. Retry with the same Idempotency-Key when safe.- Weak or missing fields do not fail the job; they appear as warnings and lower confidence values in
result.resume.ats.
OCR required
400ocr_requiredThe uploaded resume appears to be scanned or image-only.
400 error
json
{
"error": {
"code": "ocr_required",
"message": "This PDF appears to require OCR before it can be parsed.",
"type": "invalid_request_error",
"request_id": "req_01JX8Y62XCDNZ2BM7TBM2M9Q8E"
}
}Invalid PDF
400invalid_pdfThe uploaded file failed PDF validation before it reached the parse queue.
400 error
json
{
"error": {
"code": "invalid_pdf",
"message": "This file is not a valid PDF.",
"type": "invalid_request_error",
"request_id": "req_01JX8Y62XCDNZ2BM7TBM2M9Q8E"
}
}Authentication failure
401invalid_api_keyReturned when the bearer token is missing, revoked, expired, or not allowed to use the API lane.
401 error
json
{
"error": {
"code": "invalid_api_key",
"message": "Invalid API key.",
"type": "auth_error",
"request_id": "req_01JX8Y62XCDNZ2BM7TBM2M9Q8E"
}
}Idempotency conflict
409idempotency_key_reusedReturned when the same Idempotency-Key is reused with a different payload than the original request.
409 error
json
{
"error": {
"code": "idempotency_key_reused",
"message": "This Idempotency-Key was already used with a different request.",
"type": "invalid_request_error",
"request_id": "req_01JX8Y62XCDNZ2BM7TBM2M9Q8E"
}
}Webhook access disabled
403webhook_access_disabledReturned when a Starter API key submits webhook fields. Pro, Growth, and Scale include webhooks.
403 error
json
{
"error": {
"code": "webhook_access_disabled",
"message": "Webhooks are available on Pro, Growth, and Scale. Starter includes API access without webhooks.",
"type": "billing_error",
"request_id": "req_01JX8Y62XCDNZ2BM7TBM2M9Q8E"
}
}Rate limit
429rate_limit_exceededReturned when the API key or caller fingerprint exceeds the configured request rate.
429 error
json
{
"error": {
"code": "rate_limit_exceeded",
"message": "Rate limit exceeded.",
"type": "rate_limit_error",
"request_id": "req_01JX8Y62XCDNZ2BM7TBM2M9Q8E"
}
}Section
Artifact Downloads
Resume Parse always creates JSON, Markdown, and plain text artifacts for extraction and QA.
JSON artifact download
bash
curl "https://api.docushell.com/api/v1/jobs/job_01JX8Y5YJ2M2D8N1AQ5F7Q3KVT/download?format=json" \
-H "Authorization: Bearer YOUR_API_KEY"Resume Markdown artifact
bash
curl "https://api.docushell.com/api/v1/jobs/job_01JX8Y5YJ2M2D8N1AQ5F7Q3KVT/download?format=markdown" \
-H "Authorization: Bearer YOUR_API_KEY"Resume plain text artifact
bash
curl "https://api.docushell.com/api/v1/jobs/job_01JX8Y5YJ2M2D8N1AQ5F7Q3KVT/download?format=text" \
-H "Authorization: Bearer YOUR_API_KEY"Section
Known Limits
Resume Parse is best-effort deterministic extraction. It handles many common resume formats, but unusual visual layouts, very sparse text layers, scanned PDFs, or resumes with contact information only embedded in images can reduce confidence or return warnings.
The mapper never uses AI to infer missing facts. When it cannot find a field deterministically, it leaves the field empty and reports a warning instead of inventing candidate data.
- Resume Parse accepts up to 5 pages per resume; use Parse PDF for longer general documents.
- Scanned resumes currently return
ocr_required. - Highly designed resumes can produce partial sections; inspect
ats.warningsandats.confidence. - Use the Markdown and text artifacts to debug what the parser actually extracted.