Powered by big-data + ML modeling — extract candidate data from any file format, turning your talent pool from a pile into an asset.
Parses 16 resumes per second on average.
98% accuracy on key fields.
Handles 14 file formats.
Chinese and English resumes alike.
Extracts 200+ fields.
1000 concurrent API requests.
From a machine-learning and pattern-recognition standpoint, our AI reads the key fields of any resume — named-entity recognition locates fields while active learning keeps sharpening accuracy.
Read the guide →Send the resume file to our elegant API and we take care of the rest — Python, JavaScript, Ruby, cURL.
200+ fields — every resume broken into name, education, work history, contacts and a full work/education timeline, with no blind spots.
14 common file formats and bilingual resumes — unstructured files become standard structured data in seconds.
Results plug straight into your existing ATS, HR SaaS or ERP — callable front or back office — to revive a dormant talent pool.
Infrastructure and data services run on Alibaba Cloud — physical-machine encryption, vulnerability scanning and web-attack defense.
All traffic is encrypted with 256-bit SSL/HTTPS certificates, so nothing is leaked or tampered with in transit.
Private data uploaded to our servers is auto-deleted on a daily schedule, minimizing unforeseen data risk.
A randomized algorithm encrypts every resume during upload and parsing — even our own staff cannot read the plaintext.
One platform, two ways to ship.
Hosted on Xiaoxi servers and used via remote API calls — zero ops, elastic scaling, 1000+ concurrent requests.
Deployed on your own servers — on-prem or your cloud — so data never leaves your network.
Try it live for free, or request a trial to connect it to your systems.