post https://api.hrflow.ai/v1/text/parsing
Extract over 50 data point from any raw input text.
Prerequisites
Postman Endpoint
Try out the live API demo of this endpoint with Postman.
Batch Mode with 'texts' parameter
- Batch size = lenght(texts) should be < 32 (and a multiple of 2 for an optimum speed).
Request headers
| Field | Value |
|---|---|
Content-Type | application/json |
X-API-KEY | Your API Key. |
X-USER-EMAIL | Your HrFlow.ai account's email. |
Response
The Response contains a list ents of detected entities with the following structure.
| Field | Type | Description |
|---|---|---|
start | int | Position of the first char of the entity. |
end | int | Position of the last char of the entity. |
label | string | Name of the detected category |
Text output Labels
Below is a list of the different labels supported by the text parsing:
| Label | Description | Example |
|---|---|---|
first_name | First Name | John |
last_name | Last Name | Doe |
date | Date | 2022-01-01 |
duration | Duration | 6 months |
location | Location | 55 de la rue du Faubourg-Saint-Honoré, 75008 Paris France |
company | Company Name | HrFlow.ai |
job_title | Job Title | R&D Engineer |
task | Task | Manage a product team of 10 people |
school | School / Educational Institution Name | Harvard University |
education_title | Education Title | M.Sc. in Software Engineering |
course | Course Name | Statistical Learning |
skill_hard | Hard Skill | C++, JavaScript, SAGE |
skill_soft | Soft Skill | Leadership, Team spirit |
certification | Certificates Names | ISO 27001 |
language | Language | Spanish, German |
interest | Interest | Volleyball |
email | Email Address | [email protected] |
phone | Phone | +33765432109 |
Job output Labels
If
output_object="job"then the API call will return a Job object
Profile output Labels
If
output_object="profile"then the API call will return a Profile object