How to extract data from a resume/CV

Extracting valuable information from resumes/CVs can be a time-consuming and error-prone task, but with the right tools and techniques, you can transform this process into a breeze.

This article will provide you with a step-by-step guide on how to extract data from a resume or CV efficiently, with a focus on the cutting-edge solution provided by Eden AI.

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What is Resume Parsing?

Resume parsing is a technology used in the field of human resources and recruitment to extract relevant information from job applicants' resumes or CVs and convert it into a structured format that can be easily stored, searched, and analyzed by applicant tracking systems (ATS) and other software applications.

Software for parsing resumes uses natural language processing (NLP) and machine learning methods to identify and classify information like contact details, employment history, education, and abilities.

The recruiting process is streamlined and applicant screening and selection are made more effective by storing this structured data in a manner that is simple to search, analyze, and integrate into other HR and recruitment platforms.

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Step-by-Step Guide to Extract Data from Resume/CV

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Step 1. Obtain your Eden AI API Key

To get started with the Eden AI API, you need to sign up for an account on the Eden AI platform. Once registered, you will get an API key that grants you access to the diverse set of Resume Parsing providers available on the platform.

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Step 2. Prepare Your Resume Files

Make sure the resume or CV is in a compatible format such as JPG, PNG, or PDF, and that the document maintains a clear and organized structure, along with appropriate layout and formatting. This ensures precise parsing of the content.

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Step 3. Choose the right Resume Parser provider

Eden AI stands out as an exceptional platform that harnesses the power of the Best Resume Parsers available on the market. By integrating cutting-edge technologies, Eden AI ensures high accuracy, speed, and versatility in extracting data.

To select the Resume Parser Model best suited to your needs, begin by uploading the resume file from which you wish to extract the data. Then, proceed by selecting the providers you wish to use in your live testing:

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Step 4. Compare the Data you get from the different models

Once you have uploaded your document, you can proceed to compare the various responses obtained from different providers. This comparison enables you to assess the performance and effectiveness of each provider, facilitating an informed decision-making process in selecting the most suitable one for your needs.

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Step 5. Integrate the API into your software

With your chosen Resume Parser provider, integrate it into your app using our API documentation and guidelines. Eden AI API offers comprehensive documentation and code snippets, enabling smooth integration with your preferred programming language.

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Step 6. Make API requests

To extract data from a resume using the Eden AI API, make an API request with the desired resume file. Ensure that you adhere to the API's formatting and authentication requirements when making requests.

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Step 7. Set up your account for more API calls

We offer $10 free credits to start with. Buy additional credits if needed:

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Step 8. Start scaling and monitoring the performance of your API

As your application grows, monitor the performance and scalability of the Resume Parser API integrated through Eden AI. Ensure that the API usage remains within acceptable limits and explore options for scaling up or optimizing API calls if necessary. Regularly review the available Resume Parser APIs on Eden AI to take advantage of any new updates or additions.

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Best Practices for Using Eden AI’s Resume Parsing Feature

Here are some best practices to consider when using Eden AI’s Resume Parser API:

1. Pre-process Resumes: Before parsing, standardize the format of resumes as much as possible. Convert documents to PDF, JPG or PNG.
2. Clean and Consistent Data: Ensure that the resumes you provide for parsing are clean and consistent. Remove any unnecessary formatting, special characters, or inconsistent fonts to improve parsing accuracy.
3. Test and Monitor: Regularly test the parsing results and monitor the system's performance to identify and address any potential issues or discrepancies.
4. Data Security: Ensure that the data extracted from resumes is handled and stored securely to maintain the privacy and confidentiality of candidates.

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Benefits of using Resume Parser with Eden AI

Extracting data from Resume has never been easier, thanks to the advent of advanced machine learning algorithms. These remarkable innovations have streamlined resume parsing, saving time and effort.

Eden AI emerges as the frontrunner in this domain by integrating the best Resume Parser APIs available on the market. With its cutting-edge capabilities, Eden AI ensures unparalleled accuracy and efficiency in processing different documents.

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Save time and cost

We offer a unified API for all providers: simple and standard to use, with a quick switch between providers and access to the specific features of each provider.

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Easy to integrate

The JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.

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Customization

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 Parser request with specific parameters, check out our documentation.

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