Resume Parser - Technical Specifications🔗︎
We've listed out the technical specifications for our resume parsing for a fast-and-easy reference guide.
Deployment | 100% Cloud-hosted solution. |
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Integration | Available as a cloud-based service via a REST API. Official open-source SDKs are available for some programming languages. |
Security | Our SaaS Service uses SSL and does not store your data. |
Scalability | Runs on Amazon AWS, scales both vertically and horizontally and has no document limits. |
Configurability | Configurable per transaction, with dozens of options, or just use the defaults. |
Input Formats | Accepts input documents in every commercial resume document format, including:
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Throughput | Median resume parsing times are roughly 1/2 second per transaction. You can run transactions simultaneously (see Acceptable Use Policy) for even greater throughput. By default, our resume parser ensures an optimal balance between parsing accuracy and speed. If you have specific preferences, please contact us. |
Output Formats | JSON |
Multi-Language Support | Parses with high accuracy in 29 languages. Performs automatic language and locale detection; also manually configurable per transaction. |
Supported Resume/CV Sections |
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Resume Data Normalized |
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Skills & Profession Taxonomies | We have the industry’s most comprehensive and up-to-date skills and profession taxonomies, covering 300,000+ synonyms, 12,000+ unique skills in all supported languages and 4500+ unique professions in 9 languages. |
Geocoder | Our Geocoder takes in parsed resumes in JSON format and adds geo coordinates. We use the world's most accurate geocoding, at street/house level. You are also able to specify your credentials to Bing or Google and use your own preferred geocoding. |