Trusted by teams turning documents into production data
HR & Workforce
Resumes contain work history, education, skills, and contact details in thousands of format variations. No two look alike, but your ATS needs consistent data. Sensible turns resumes into structured JSON for candidate screening, matching, and ATS integration.
Validated JSON
Schema-enforced output; every field matches your contract
Source coordinates
Every value links back to page + bounding box for audit
Per-document pricing
Predictable cost. No token-volatility surprises
Trusted by teams turning documents into production data
Resumes come in endless layouts, with dates, roles, and skills scattered wherever the design puts them. We parse the structure into consistent fields, dates and skills included.
01
Single-column, two-column, sidebar, creative: candidates use every layout imaginable. Section boundaries are identified regardless of visual structure, and contact info, experience, education, and skills all extracted consistently.
02
'Jan 2020 - Present'. '2018 to 2021'. 'Summer 2019'. Candidates express dates in dozens of formats. Sensible normalizes them all and calculates employment duration, giving your ATS structured tenure data.
03
Skills appear as bulleted lists, inline mentions within job descriptions, or dedicated sections with varied formatting. LLM parsing identifies skills regardless of where they appear and returns them as a structured array.
Managed services
Solutions engineers handle plan, build, deploy, and adjust on your behalf. You see clean JSON in your API response. Same engine as self-serve, just with the configuration work outsourced.
What's included
01Plan.Engineers review your samples and pick the right method
02Build.SenseML configs written from your samples
03Deploy.Same engine as self-serve, ready for production
04Adjust.We update configs when formats shift or new edge cases appear
05Integrate.Help with custom integration into your downstream systems
We configure every resume extraction to your exact schema, not a fixed field list. The fields below are the ones recruiting teams pull most often — tell us what your ATS integration needs and we map the rest.
01
Contact and summary
Full name, email, phone, location, LinkedIn URL, portfolio URL, professional summary/objective
02
Experience
Company name, job title, start date, end date, duration, location, description/responsibilities, achievements
03
Education and skills
Institution name, degree, field of study, graduation date, GPA, certifications, skills (categorized), languages
config.json
SenseML
{ /* SenseML: resume extraction */
"fields": [
{
"method": {
"id": "queryGroup",
"queries": [
{ "id": "full_name", "description": "full name, name, candidate name" },
{ "id": "email", "description": "email address, email, e-mail" },
{ "id": "current_title", "description": "most recent job title, current title, current position" },
{ "id": "current_company", "description": "most recent company, current employer, current company" }
// + more fields, mapped to your schema
]
}
}
]
}Sensible processes resumes in any layout, language, or file format. Hybrid extraction handles the unlimited variation in resume design while outputting a consistent candidate data schema.
Single-column, two-column, creative/infographic, academic CV, federal resume, chronological, functional, combination
PDF, Word (DOCX), scanned/image PDFs, Google Docs exports, plain text
Answers about layout support, date normalization, and skills extraction.
Yes. Sensible processes single-column, multi-column, and creative resume layouts. PDF and image formats are both supported.
Yes. Sensible extracts listed skills as an array, including technical skills, languages, tools, and certifications. Skills mentioned within job descriptions can also be captured.
For each position, company name, job title, start and end dates, location, and description come back, and education entries include institution, degree, field of study, and graduation date. These fields are defined in configuration, so you extend them or reshape them to match what your applicant pipeline expects.
Sensible identifies standard resume sections including contact information, summary, work experience, education, skills, certifications, and languages regardless of formatting or layout.
Yes. Sensible sends extraction results to your webhook endpoint when processing completes. You can also poll the API for status.
Yes. Sensible flags extractions with low confidence for human review. You can configure review thresholds and workflows.
Sensible is SOC 2 Type II certified and HIPAA compliant. Data is encrypted in transit and at rest.
Document data is stored indefinitely by default. Custom retention policies are available and can be configured for same-day deletion if needed.
Yes. Sensible offers a 14-day free trial on the Growth plan. No credit card required to start.
Sensible uses per-document pricing for predictable costs. No token-based billing or usage surprises. Volume discounts are available for higher throughput.
Sensible provides REST APIs and SDKs for Python and Node.js. Most integrations take a few hours. Webhooks, Zapier, and direct API calls are all supported.
Sensible processes PDFs (native or scanned), Microsoft Word (DOC, DOCX), spreadsheets (XLSX, XLS, CSV), single-page images (JPEG, PNG), multi-page images (TIFF), and email bodies with attachments.
Accuracy depends on document quality and configuration. Most production deployments achieve 95%+ accuracy with proper validation rules and confidence signals.
Processing speed depends on document size, page count, OCR requirements, and which extraction methods are used. Simple single-page documents process in seconds. Larger or more complex documents that use LLM-based extraction take longer.
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Free 14-day trial. No credit card required. Start extracting in minutes.