HrFlow.ai updates hrflow.ai

Update

🎉 New update!

We are excited to introduce Atlas, our most advanced Profile Parsing model to date, which replaces the Mozart model.

😍 Why it’s a big deal for HrFlow.ai users?

Atlas is our latest Profile Parsing architecture, derived from the Mozart model but with a 3360% improvement in speed while maintaining the same 97.56% accuracy.

💡 For example, a one-page resume that previously took an average of 11.63 seconds to process now takes only 3.46 seconds.

💡Useful Links

• Profile Parsing API Endpoint
• Profile Parsing Live Demo
• Resume Parsing Guide

Fix

⚔️ Minor Fix!

We are releasing a minor update to our Text Parsing API to handle HTML input.

😍 Why it’s a big deal for HrFlow.ai users?

Our Text Parsing API now supports inputs containing HTML tags. For example, if you are scraping a job offer from the internet, you can directly send the HTML content to our Text Parsing API to parse the job details.

💡 Useful Links

• Text Parsing API Endpoint
• Text Parsing Live Demo
• Text Parsing Guide

Update

🎉 New Update!

We've added new charts & counters to the “Boards” for enhanced usage monitoring.

😍 Why it’s a big deal for HrFlow.ai users?

The key updates in this release are:

• Board Counters: Tracks the number of jobs stored, searchable, and scorable within a source.

Connections > My Boards

• Board Charts: Provides time-based reports on the number of jobs stored, searchable, and scorable within a source.

Connections > BoardName > Overview

💡 Useful Links

• Sign up to HrFlow.ai
• Board Guide

Update

🎉 New Update!

We've added new charts & counters to the “Sources” for enhanced usage monitoring.

😍 Why it’s a big deal for HrFlow.ai users?

The key updates in this release are:

• Source Counters: Tracks the number of profiles stored, searchable, and scorable within a source.

Connections > My Sources

• Source Charts: Provides time-based reports on the number of profiles stored, searchable, and scorable within a source.

Connections > SourceName > Overview

💡 Useful Links

• Sign up to HrFlow.ai
• Source API Guide
• What is a Source?

New

🎉 New feature!

We are pleased to announce a highly anticipated update to our Portal, enabling our users to generate reports that evaluate the quality of our Job Parsing models.

😍 Why it’s a big deal for HrFlow.ai users?

With the new capability to generate parsing evaluation reports, HrFlow.ai users can:

1. Assess the Accuracy of HrFlow.ai parsing models (Quicksilver, Mozart, Hawk) to select the most suitable one for their specific use case.
2. Identify Improvements with each monthly product release to continuously enhance performance.
3. Compare Models by evaluating our state-of-the-art models against competitor performance, ensuring the best choice for their needs.

🔧 How does it work?

To generate your job parsing report from the Portal, follow these steps:

1. Access the HrFlow.ai Portal and log in to your account
2. Select "My Boards", in the "Connections" section.
3. Choose a Board from the list.

Connections > My Boards

4. Upload your jobs if your board is an Excel

My Boards > BoardName > Add Job

5. Click on “Debugger”
6. Choose “Parsing report” in the “View as” section

My Boards > BoardName > Debugger > Parsing report

💡 You can also use our Python SDK to generate a parsing report for a large batches of profiles.

💡Useful Links

• Text Parsing API Endpoint
• Text Parsing Live Demo
• Text Parsing Guide

New

🎉 New feature!

We are pleased to announce a highly anticipated update to our Portal, enabling our users to generate reports that evaluate the quality of our resume parsing models.

😍 Why it’s a big deal for HrFlow.ai users?

With the new capability to generate parsing evaluation reports, HrFlow.ai users can:

1. Assess the Accuracy of HrFlow.ai parsing models (Quicksilver, Mozart, Hawk) to select the most suitable one for their specific use case.
2. Identify Improvements with each monthly product release to continuously enhance performance.
3. Compare Models by evaluating our state-of-the-art models against competitor performance, ensuring the best choice for their needs.

🔧 How does it work?

To generate your Profile Parsing report, follow these steps:

1. Access the HrFlow.ai Portal and log in to your account
2. Select "My Sources", in the "Connections" section.
3. Choose a Source from the list.

HrFlow.ai Portal > Connections > My sources

4. Upload your profiles if your source is a Folder

My sources > SourceName > Upload Profiles

5. Click on “Debugger”
6. Choose “Parsing report” in the “View as” section

My sources > SourceName > Debugger > Parsing report

💡 You can also use our Python SDK to generate a parsing report for a large batches of profiles.

💡Useful Links

• Profile Parsing API Endpoint
• Profile Parsing Live Demo
• Resume Parsing Guide

New

🎉 New feature!

We are thrilled to introduce a new feature to our Portal: the Job AI Picture Generator.

BoardName > My Jobs > JobName > Settings > AI picture

😍 Why it’s a big deal for HrFlow.ai users?

This new feature integrates the Text Imaging API and allows our users to generate images that illustrate their job descriptions without having to code.

🔧 How does it work?

To use the Job AI Picture Generator feature, follow these steps:

1. Access the HrFlow.ai Portal and log in
2. Choose "Connectors Marketplace" in the "Connections" category
3. Select a board from the “Boards” section
4. Click on My Jobs > Choose a job > Settings > AI picture
5. Now you can generate an image for your job or replace the old one

💡 Useful Links

• Text Imaging API Endpoint
• Text Imaging API Live Demo
• Board Guide
• Sign up to HrFlow.ai

New

🎉 New Feature!

We're pleased to introduce a new Board to our Connectors Marketplace: Excel.

Connectors Marketplace > Connections > Boards > Excel

😍 Why it’s a big deal for HrFlow.ai users?

This new feature lets users upload multiple jobs easily by importing them directly from an Excel spreadsheet.

🔧 How does it work?

To import your jobs into HrFlow.ai using Excel, follow these steps:

1. Head to HrFlow.ai Portal and log in to your account.
2. Once logged in, click on the "Connectors Marketplace" option within the "Connections" section from the left sidebar.
3. Choose the "Excel" option within the “Boards” section.

Connections > Boards > Excel

4. Enter a "name" and "description" for your board, then set your preferences.

Connections > Boards > Excel > Form

5. Confirm that your Board is ready.

Connections > My Boards > BoardName > Overview

6. Click on the “Upload Jobs” tab.

Connections > My Boards > BoardName > Upload Jobs

7. Download the Excel template.

Jobs Excel Template

8. Fill the Excel template out with your jobs details.
9. Drag and drop the filled-out Excel template into the upload zone.

Connections > My Boards > BoardName > Upload Jobs

10. Check the “Debugger” tab to verify your uploaded jobs.

Connections > My Boards > BoardName > Debugger

💡Useful Links

• Sign up to HrFlow.ai
• Board Guide

New

🎉 New Scoring Algorithm!

We're excited to announce our latest scoring algorithm, specially designed for the recruiting industry.

The “Recruiter Industry” Scoring Algorithm is tailored to the needs of agencies serving diverse customers across various industries and candidates from different backgrounds.

Recruiting Industry algorithm

😍 Why it’s a big deal for HrFlow.ai users?

Meeting diverse needs as a recruiter, especially when working in an agency that serves multiple clients, can be particularly challenging for several reasons:

1. Varied Client Requirements: Each client has different expectations for skills, experience, and cultural fit, requiring recruiters to understand and adapt to each unique demand deeply.
2. Candidate Expectations: Balancing candidate career goals and preferences with client needs.
3. Multiple Roles and Industries: Recruiters must be knowledgeable across various sectors and job functions, adding complexity to their role.

What sets this algorithm apart from others in our Scoring Marketplace is its sophisticated approach to integrating the job placement histories of similar roles with different specifications from one agency customer to another, ensuring each agency client's unique requirements are precisely met.

Use case Example:

Using the “Recruiting Industry” Scoring Algorithm, a recruitment firm can tailor accountant searches for distinct clients like Boeing and Gucci. The algorithm will:

• for Boeing: prioritize candidates with industrial and raw material cost management expertise.
• For Gucci: focus on candidates experienced in luxury goods accounting.

Performance and Safety metrics

Peformance Metrics

Training history

Scores’ distribution

🔧 How does it work?

1. Access the HrFlow.ai Portal and log in to your account.
2. From the left sidebar, click on "AI Studio"
3. Select "Algorithms Marketplace"
4. Choose the “Recruiting Industry” algorithm and click “Create Algorithm.”

Algorithms Marketplace

💡 Useful Links:

• Building a Human-level Matching Algorithm: Our Approach for AI & Fairness
• Our Developers Profile Scoring Guide
• Our Developers Job Scoring Guide

New

🎉 New feature!

We are pleased to announce a new function in our Python SDK designed to parse large batches of profiles efficiently.

`add_folder()` Function for Batch Profile Parsing

😍 Why it’s a big deal for HrFlow.ai users?

• Efficiently parse large local folders of resumes.
• Manage retries and handle failures with the argument move_failure_to
• Control parsing progress and optimize rate limits with the argument show_profress

🔧 How does it work?

1. Install the HrFlow.ai Python SDK using the command pip install -U hrflow or conda install hrflow -c conda-forge.
2. Log in to the HrFlow.ai Portal at hrflow.ai/signin.
3. Obtain your API key from developers.hrflow.ai/docs/api-authentication.
4. Ensure the Profile Parsing API is enabled in your account
5. Create a Source as described at developers.hrflow.ai/docs/connectors-source.
6. Use the add_folder() function from our Python SDK, providing the necessary arguments.

💡 Useful Links

• Sign up to HrFlow.ai
• HrFlow.ai Python SDK
• API Authentification
• Create and configure a Source