Top Free Language Detection tools, APIs, and Open Source models

Top Free Language Detection tools, APIs, and Open Source models

What is Language Detection API?

Language identification technology can identify the language of a given text or content with ease. By analyzing the language features of the input text, this technology can determine the language and provide the corresponding output.

Language identification tools are widely used in different applications, including multilingual websites, language translation utilities, and tools for monitoring social media. By automatically detecting the language in which the content is generated by the user, these devices are capable of delivering appropriate translations or responses.

Top Open Source (Free) Language Recognition 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 Language Detection Open Source Models:

1‍. fastText

fastText is a tool for easily learning about words and organizing sentences. Anybody can use fastText, including professionals, students, and people who aren't experts. fastText concentrates on arranging text and learning about words.

It's been developed so people can quickly try different methods and improve them without needing special equipment. fastText can process over one billion words very quickly on any multicore processor in a few minutes. It has pre-made models learned from Wikipedia in over 157 different languages.

2. lingua-py

This is a python open source library for language detection. A total of 75 languages can be detected.

3. LangDetect

This library is a Python version of Google's language-detection library, capable of identifying more than 50 languages. Developed by Nakatani Shuyo at Cybozu Labs, Inc.

4. is a simple language identification tool that is based on the Python programming language.

5. polyglot

Polyglot is a natural language pipeline that supports massive multilingual applications. It includes language identification as one of its components.

6. CLD2 (Compact Language Detector 2)

CLD2 is a library for language detection, optimized for speed and accuracy. It's developed by Google and used in various Google products.

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 hosting and server usage expenses, 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. 60720 (1).png

Access Language Detection providers with one API

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

  • AWS
  • Google
  • IBM
  • Microsoft
  • ModernMT
  • NeuralSpace
  • OpenAI

1. AWS- Available on Eden AI

AWS offers a Language Detector powered by Amazon Comprehend - a useful tool for analyzing text and determining its dominant language. Using identifiers from the RFC 5646 standard, the API can accurately predict languages and provide a confidence score.

Amazon Comprehend can easily handle large, complex documents by breaking them down into smaller segments for analysis and producing easy-to-comprehend results. However, please be aware that the API may struggle to differentiate between similar language pairs and lacks support for phonetic language detection. Nevertheless, this API is a dependable and robust instrument for language analysis.

2. Google- Available on Eden AI

Google Cloud's Language Detector provides a dependable and potent language identification tool. With over 120 languages supported, it is one of the most comprehensive APIs available, accurately and promptly discerning the language of a given text. It also gives you the option of customizing batch sizes to process more extensive amounts of text.

3. IBM- Available on Eden AI

IBM offers the Watson Natural Language Understanding solution to identify the language of input text in real-time, utilizing deep learning technology. This API is created on IBM's Watson Language Translator service and is trained on a extensive corpus of text in various languages, ensuring excellent accuracy even with intricate and nuanced languages. Furthermore, this API is brought to you as a scalable and adaptable cloud-based service, facilitating its seamless integration into applications.

4. Microsoft Azure- Available on Eden AI

Azure's Language Detection API is included as part of the Azure Cognitive Service for Language. It accurately detects the language of a document, including dialects and regional differences. This comprehensive language processing solution is designed for businesses and includes features such as sentiment analysis, key phrase extraction, and entity recognition. All of these features are powered by advanced state-of-the-art AI and machine learning technologies.

5. ModernMT- Available on Eden AI

ModernMT offers an API that detects any given text's language using advanced machine learning algorithms. Our solution is scalable and copes well with large volumes of requests in several languages, without any performance degradation. This makes it perfect for applications requiring language detection for vast amounts of data.

6. NeuralSpace- Available on Eden AI

NeuralSpace offers an advanced model that can be integrated into any application with ease. The API is user-friendly and only needs users to input the text for getting the most probable languages, ranked by their confidence scores. NeuralSpace's Language Detector covers more than 150 languages, rendering it one of the most comprehensive solutions out there. This API can detect the language of any text and add it effortlessly to users' software. The vast language support enables users to work with many languages and reach a diverse customer base.

7. OpenAI- Available on Eden AI

OpenAI has an API that can recognize a text's language accurately through advanced machine learning tech. Their solution can detect languages of all kinds of texts, even those with slang or abbreviations. It's also easily scalable and can handle big volumes of text with absolute ease, which makes it the perfect choice for companies and groups that have to process large amounts of text on a regular basis.

Pricing Structure for Language Recognition 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.

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.
  • Centralized and fully monitored billing on Eden AI for Language Detection 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 Language Detection 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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