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Top Free Resume Parser tools, APIs, and Open Source models

What is Resume Parser API?

A Resume/CV parsing API enables you to automate the scrutiny of CVs, such as PDFs or Word documents, to collect data in an organized manner, including contact details, employment history, education, and abilities.

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In AI Resume screening APIs, OCR (Optical Character Recognition) technology is frequently incorporated to convert scanned or image-based CVs into machine-readable text. This enables the API to extract information from uneditable files by recognizing the text within them.

Top Open Source (Free) AI Resume Screening models on the market

For users seeking a cost-effective engine, opting for an open-source model is the recommended choice. Here is the list of the best Resume Parser Open Source Models:

1‍. open-resume
OpenResume is a highly effective, open-source tool for building and parsing CVs. Its aim is to provide free access for all to contemporary professional designs and empower individuals in their job search with confidence.

2. Resume-Matcher
Resume Matcher is a free, open-source, AI-based tool for customizing your resume to a specific job description. It identifies relevant keywords, enhances readability, and provides in-depth insights into your resume.

The software processes your curriculum vitae and job descriptions through Python and imitates the functionalities of an ATS, providing you with insights and suggestions to make your curriculum vitae ATS-friendly.

3. pyresparser
A simple resume parser is used for extracting information from resumes.

4. resume-parser
A Resume Parser API that is based on Java Spring Boot and uses the GATE library. The program works seamlessly with every kind of CV format (PDF, HTML, DOC, DOCX, RTF, TXT) as well as LinkedIn Profile Documents. It is capable of accurately extracting all relevant information in the English language.

5. nlp-resume-parser
GPT-3 powered resume analyzer which converts resumes from PDF to JSON via a REST API.

Cons of Using Open Source AI models

‍While open source models offer many advantages, they also come with some potential drawbacks and challenges. Here are some cons of using open source models:

- Not Entirely Cost Free: Open-source models, while providing valuable resources to users, may not always be entirely free of cost. Users often need to bear expenses related to hosting and server usage, especially when dealing with large or resource-intensive data sets.
- Lack of Support: Open source models may not have official support channels or dedicated customer support teams. If you encounter issues or need assistance, you might have to rely on community forums or the goodwill of volunteers, which can be less reliable than commercial support.
- Limited Documentation: Some open source models may have incomplete or poorly maintained documentation. This can make it difficult for developers to understand how to use the model effectively, leading to frustration and wasted time.
- Security Concerns: Security vulnerabilities can exist in open source models, and it may take longer for these issues to be addressed compared to commercially supported models. Users of open source models may need to monitor for security updates and patches actively.
- Scalability and Performance: Open source models may not be as optimized for performance and scalability as commercial models. If your application requires high performance or needs to handle a large number of requests, you may need to invest more time in optimization.

Why choose Eden AI?

Given the potential costs and challenges related to open-source models, one cost-effective solution is to use APIs. Eden AI smoothens the incorporation and implementation of AI technologies with its API, connecting to multiple AI engines.

Eden AI presents a broad range of AI APIs on its platform, customized to suit your specific needs and financial limitations. These technologies include data parsing, language identification, sentiment analysis, logo recognition, question answering, data anonymization, speech recognition, and numerous other capabilities.

To get started, we offer free $10 credits for you to explore our APIs.

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Get your API key for FREE

Access Resume Parser providers with one API

Our standardized API enables you to integrate Resume Parser APIs into your system with ease by utilizing various providers on Eden AI. Here is the list (in alphabetical order):

  • Affinda
  • HireAbility
  • Klippa ‍

1. Affinda- Available on Eden AI

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By utilizing state-of-the-art NLP to achieve outstanding outcomes, Affinda surpasses other resume parsing APIs by extracting more than 100 fields from each CV, allowing for extensive and meticulous analysis.

These fields are then expertly organized into searchable file formats, providing users with a smooth and convenient experience. Moreover, Affinda distinguishes itself by supporting an impressive variety of languages, enabling the parsing of CVs in 56 different languages.

2. HireAbility- Available on Eden AI

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HireAbility provides a strong and dependable Resume Parsing solution suitable for organizations of all sizes. An exceptional benefit is that HireAbility does not retain any of the resume or job data, thereby ensuring data privacy and security for users. Additionally, HireAbility's exceptional resume parser and job vacancy parser can flawlessly integrate into current Oracle Fusion Cloud workflows, maximizing efficiency and streamlining processes.

HireAbility's standout feature is its capability to identify and break down information from the Matters section, typically present in legal and lawyer CVs and resumes. Furthermore, HireAbility consistently updates its online job and resumes parsing demos with fresh elements and improvements, ensuring an enhanced user experience.

3. Klippa- Available on Eden AI

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The Klippa Resume Parser API is an effective tool that streamlines and automates the extraction of vital details from CVs and resumes. Thanks to its state-of-the-art technology, this API can quickly examine and dissect documents, identifying information including contact details, work history, education, skills, and other pertinent information.

Pricing Structure for AI Resume Screening API Providers

Eden AI offers a user-friendly platform for evaluating pricing information from diverse API providers and monitoring price changes over time. As a result, keeping up-to-date with the latest pricing is crucial. The pricing chart below outlines the rates for smaller quantities for November 2023, as well as you can get discounts for potentially large volumes.

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Check the current prices on Eden AI

How Eden AI can help you?

Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.

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  • Centralized and fully monitored billing on Eden AI for Resume Paarser APIs
  • Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
  • Standardized response format: 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.
  • The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
  • Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines. ‍

You can see Eden AI documentation here.

Next step in your project

The Eden AI team can help you with your Resume Parser integration project. This can be done by :

  • Organizing a product demo and a discussion to understand your needs better. You can book a time slot on this link: Contact
  • By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
  • By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
  • Having the possibility to integrate on a third-party platform: we can quickly develop connectors.

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