We are happy to announce that it is now possible for our customers to choose the storage_duration for profile attachments (profile picture, cover letter, resume) to comply with their internal privacy and security policies.
When you create a source on HrFlow.ai, you can set the storage_duration value to: never_store, 2H, 1D, 1W, 1M, 6M, 1Y, 2Y, or never_expire.
Note that this value cannot be changed after creation.
We have improved the detection of dates across all our certified languages.
The impact can be most noticed on German resumes.
We are pleased to announce that octet-stream files without extensions can now be successfully parsed.
This fix improves the overall performance of our Parsing and ensures that our system correctly handles these rare exceptional files.
In response to the increasing demand from customers who want to categorize and classify HR data (texts, documents, sections, paragraphs) automatically, we are thrilled to announce our latest AI module: Tagging API.
The Tagging API is a library of pre-built AI algorithms that automatically normalize and classify talent and workforce data, including job titles, skills, and more.
Our first release includes 4 AI algorithms, called taggers, trained to make 4 different types of predictions:
tagger-rome-family: predicts the job family (Grand Domaine) from any raw input text such as a resume, job offer, job section, or experience, based on the job classification open-sourced by the french government, called "ROME".tagger-rome-subfamily: predicts the job subfamily (Domaine) from any raw input texttagger-rome-category: predicts the job category (Fiches Métiers) from any raw input texttagger-rome-jobtitle: predicts the job title (Intitulé de poste) from any raw input textrevealing: predicts hard and soft skills from any raw input text based on the HrFlow.ai internal knowledge graph.The JSON output of the API provides the list of the most likely predictions with associated names, IDs, and probabilities.
In the coming month, our team will release more AI algorithms to cover a broader range of use cases.
To integrate this new API, you can check the following documentation:
About Cegid-Talentsoft :
Talentsoft (by Cegid) offers a full-suite HCM solution so you can keep all your HR processes in one platform.
Connector features:
applicant_new event by fetching every newly created profile from TalentSoft and sending it to HrFlow.ai Parsing API.applicant_update event by only updating the profile's structured data coming from TalentSoft in HrFlow.ai.applicant_resume_update event by running a new HrFlow.ai Parsing on the updated resume.Useful links:
📄 Visit the Cegid talentsoft to learn more
💻 Connector code on our GitHub.
About SmartRecruiters:
SmartRecruiters’ Talent Acquisition Suite is used by organizations to make the best hires. It has complete functionality for recruitment marketing and collaborative hiring built on a modern cloud platform with an open marketplace for 3rd party recruitment services.
Connector features:
SmartRecruiters integration with HrFlow allows you to :
Pull jobs: Retrieves all jobs from SmartRecruiters and sends them to an HrFlow board.
Pull profiles: Retrieves profiles from SmartRecruiters and sends them to an Hrflow.ai Source.
Push profiles: Send profiles from an HrFlow source to SmartRecruiters as a candidate for a given job
Useful links:
📄 Visit the Smartrecruiters API documentation to learn more
💻 Connector code on our GitHub.
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We are excited to announce that HrFlow.ai Parsing V4.0 is finally available. This release includes awesome new features and improvements that we hope you enjoy.
These updates are backward compatible. Hence, they are no API migration that needs to be taken, except for the company logo detection feature.
To check the complete Profile JSON, please head over to the Profile Object page: https://developers.hrflow.ai/reference/the-profile-object .
To give a try to our latest Parsing version, please visit:
The Parsing API developed by HrFlow.ai has been updated. Version 3.3.24 ships with an updated URLs schema. Please find below an example of the “URLs” field content:
"urls": [
{"type": "from_resume", "url" : "https://hrflow.ai/"},
{"type": "linkedin", "url" : "https://fr.linkedin.com/doe-john"},
{"type": "twitter", "url" : "https://twitter.com/hrflowai"},
{"type": "facebook", "url" : "https://www.facebook.com/hrflowai/"},
{"type": "github", "url" : "https://github.com/harry-james-potter"},
]
Further information about our Parsing API can be found at: developers.hrflow.ai
Feel free to test our Parsing update through: labs.hrflow.ai
The Parsing API developed by HrFlow.ai has been updated. Version 3.3.23 ships with a better date detection algorithm.
Further information about our Parsing API can be found at developers.hrflow.ai
Feel free to test our new profile parsing potential through labs.hrflow.ai
The Parsing API developed by HrFlow.ai has been updated. Version 3.3.22 ships with an enhanced experience detection algorithm.
Further information about our Parsing API can be found at developers.hrflow.ai
Feel free to test our new profile parsing potential through labs.hrflow.ai