Resume parsing is a process that uses OCR (Optical Character Recognition) technology to automatically extract information from resumes and organize it into a structured format, such as a spreadsheet or custom software program. This technique is often used in the pre-qualification stage of hiring to efficiently identify top candidates. By analyzing and extracting data from resumes, parsing allows for more efficient and accurate organization of job applicant information.
If you want to learn more about what Resume Parsing can offer, check out our Top 10 Resume Parser APIs.
The first step is to set Axios, a promise-based HTTP client for the browser and Node.js, that will allow you to call Eden AI API.
Next, you'll need to initialize the File System module in order to access local files on your computer.
Finally, you'll need to create your multipart/formdata parameters form:
You are now ready to process documents into Eden AI Resume Parsing API. You can process Resume Parsing in many languages and access the list of languages supported in our documentation here.
To perform Resume Parsing, you'll need to create an account on Eden AI for free. Then, you'll be able to get your API key directly from the homepage with free credits offered by Eden AI.
As shown above, we called two different Resume Parsing engines. Once the parameters values are passed, you can configure your request:
Then, you just need to launch the request and print the result:
Here is an example of a Resume Parsing response:
Using Resume Parsing with Eden AI API is quick and easy.
We offer a unified API for all providers: simple and standard to use, with a quick switch between providers and an access to the specificic features of each provider
The JSON output format is the same for all suppliers thanks to Eden AI's standardisation work. The response elements are also standardised thanks to Eden AI's powerful matching algorithms.
With Eden AI you have the possibility to integrate a third party platform: we can quickly develop connectors. To go further and customize your Resume Parsing request with specific parameters, check out our documentation.