Best 13 voice recognition api Tools in 2025

SpeechFlow, MyGPT, Bing AI Extension, SpeechEvalPro, Deepgram Voice AI, Music.AI, SteosVoice, ExpenSee, AssemblyAI, Bland AI are the best paid / free voice recognition api tools.

22.9K
22.58%
7
Summary: SpeechFlow is a robust API that accurately converts speech to text in multiple languages.
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3
MyGPT is a platform for creating customizable ChatGPT bots using GPT-4 and advanced voice recognition technology.
92 users
0
Voice-driven Bing AI extension for easy interactions.
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100.00%
1
SpeechEvalPro is an API solution for accurate pronunciation assessment in Chinese and English.
849.2K
18.57%
1
Real-time speech-to-text and text-to-speech APIs powered by Deepgram's voice AI models
125.3K
11.52%
1
Build and scale audio-driven AI products with state-of-the-art AI models.
78.8K
68.23%
1
SteosVoice: AI-powered platform for realistic, high-quality speech synthesis.
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4
ExpenSee is a secure app that helps users easily track expenses using voice recognition.
289.8K
24.58%
2
Bland AI automates tasks and improves efficiency using machine learning.
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0
AI-powered platform for audio-visual content creation
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2
ClearCypherAI is a US-based startup specialized in generative audio and AI technologies.
168.6K
15.18%
2
Label Studio: open-source tool for labeling data in various models.
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What is voice recognition api?

Voice recognition API, also known as speech recognition API, is a technology that enables software applications to convert spoken words into text. It leverages artificial intelligence and machine learning algorithms to accurately transcribe human speech in real-time or from pre-recorded audio. Voice recognition APIs have become increasingly popular in recent years, with applications ranging from virtual assistants and voice-controlled devices to automated transcription services and accessibility tools.

What is the top 10 AI tools for voice recognition api?

Core Features
Price
How to use

Deepgram Voice AI

Speech-to-Text API
Text-to-Speech API
Audio Intelligence API

Integrate Deepgram Voice AI APIs into your applications by following the documentation and tutorials provided. You can transcribe speech with unmatched accuracy, speed, and cost using the Speech-to-Text API. For real-time AI agents, utilize the Text-to-Speech API to generate human-like speech. The Audio Intelligence API, powered by AI language models, enhances audio understanding.

AssemblyAI

Transcribe audio files, video files, and live speech into text
Interpret audio for business and personal workflows
Build LLM (Large Language Model) apps on voice data using LeMUR
Unlock rich and accurate data from call recordings
Caption, categorize, and moderate video content
Easily transcribe and analyze insights from virtual meetings
Target and analyze media content from TV, podcasts, and radio

To use AssemblyAI, developers can integrate the API into their applications or services. They can convert audio files, video files, and live speech into text by making API requests. The API provides features like speaker labels, word-level timestamps, profanity filtering, custom vocabulary, and more. Developers can also leverage the Audio Intelligence models and the LeMUR framework to build AI-powered applications with voice data.

Bland AI

Automated task processing
Machine learning algorithms
Data analysis
Workflow integration

Basic $9.99/month Includes basic features and limited usage.
Pro $29.99/month Includes advanced features and higher usage limits.
Enterprise Contact sales for pricing. Customizable plan for large-scale deployments.

To use Bland AI, simply sign up for an account on the website and follow the onboarding process. Once onboarded, you can integrate Bland AI into your existing systems and workflows.

Label Studio

Flexible data labeling for all data types
Support for computer vision, natural language processing, speech, voice, and video models
Customizable tags and labeling templates
Integration with ML/AI pipelines via webhooks, Python SDK, and API
ML-assisted labeling with backend integration
Connectivity to cloud object storage (S3 and GCP)
Advanced data management with the Data Manager
Support for multiple projects and users
Trusted by a large community of Data Scientists

To use Label Studio, you can follow these steps: 1. Install the Label Studio package through pip, brew, or clone the repository from GitHub. 2. Launch Label Studio using the installed package or Docker. 3. Import your data into Label Studio. 4. Choose the data type (images, audio, text, time series, multi-domain, or video) and select the specific labeling task (e.g., image classification, object detection, audio transcription). 5. Start labeling your data using customizable tags and templates. 6. Connect to your ML/AI pipeline and use webhooks, Python SDK, or API for authentication, project management, and model predictions. 7. Explore and manage your dataset in the Data Manager with advanced filters. 8. Support multiple projects, use cases, and users within the Label Studio platform.

Music.AI

Wide range of state-of-the-art AI models for audio-driven AI products
User-friendly interface with drag-and-drop functionality
API integration, native client support, and comprehensive SDKs
Robust data protection controls
Frictionless audio API integration
Unmatched performance with lightning-fast processing and cost efficiency
Built-in workflows for quick start or create custom workflows

To use Music.AI, companies and developers can leverage the Audio Intelligence Platform™, which provides state-of-the-art Complementary AI™ models tailored to empower businesses and developers. The platform offers a user-friendly interface with drag-and-drop functionality, API integration, native client support, and comprehensive SDKs. It also ensures the privacy and security of data, allowing users to train their own models.

SteosVoice

Ultra-realistic speech synthesis
High-quality sound
TTS for content creators
Voice messages for patrons
Localization for YouTube
Multiple voices and growing library
Various use cases
Continuous audio generation
Paid plans available

To use SteosVoice, simply sign in or register an account on the platform. Once logged in, you can access over 150 voices and utilize them in various ways. You can create unique content by dubbing videos, adding voice messages for your patrons, or even localizing your YouTube channel. Additionally, SteosVoice can be used for audio books, podcasts, and even as a Telegram Bot. The platform also offers monetization opportunities, allowing you to make money from your voice.

SpeechFlow

SpeechFlow provides high accuracy in transcribing speech to text in 14 languages.
The API supports languages like English, French, German, Japanese, Korean, Russian, Spanish, and more.
The AI model transforms audio into text with proper punctuation, making the transcriptions easy to understand and act upon.
SpeechFlow can process up to 1 hour of audio file in less than 3 minutes, providing efficient transcription services.
SpeechFlow offers pay-as-you-go pricing, allowing you to pay for only what you need.
With simple code snippets provided in various languages like Curl, C#, Go, Java, Node.js, PHP, Python, Ruby, Rust, and TypeScript, SpeechFlow can be seamlessly integrated into different applications.

To use SpeechFlow, you can either upload an audio file or provide a YouTube link. The API will process, interpret, and understand the speech signal to generate the corresponding text. You can choose from 14 supported languages, including English, French, German, Japanese, Korean, Russian, and Spanish. The API is easy to deploy and scale, with options for both cloud and on-prem deployment. Simply integrate the provided code snippet in your application to start transcribing speech to text.

MyGPT

The core features of MyGPT include: - Access to GPT-4 for powerful and creative ideation. - State-of-the-art voice recognition with Whisper for an intuitive user experience. - AI neural-based TTS (text-to-speech) for lifelike and customizable bot voices. - Customizable bots suited for personal needs and business growth guidance. - Open source tools available on GitHub for workflow customization. - API with limitless possibilities for personalization and clever hacks. - Dedicated support and assistance for glitch fixing or feature requests.

subscription
own_api_basic_2 $0.99
own_api_pro_4 $1.99

To use MyGPT, follow these steps: 1. Register an account on the website. 2. Choose a subscription plan based on your needs. 3. Access the platform and activate the @mygptlinkbot in Telegram. 4. Design and customize your own bots using the intuitive interface. 5. Use the provided API to personalize and enhance your bots further. 6. Enjoy the prompt and lively interactions with your customized bots.

SpeechEvalPro

The core features of SpeechEvalPro include:- Pronunciation assessment and scoring API- Voice evaluation and speech recognition- Multi-dimensional evaluation for Chinese and English pronunciation- Support for various question types and languages- Real data labeling and model training for accuracy- Fluency assessment for speed and pauses- Integrity assessment for missing or repeated words- Specify phonetic pronunciation in Chinese evaluation- Simple access via HTTP and WebSocket protocols

free_trial $0
pro $499
pro_plus $1999
enterprise Contact Sales

To use SpeechEvalPro, you need to sign up for a free trial or choose a suitable pricing plan. Once you have access, you can integrate the API into your learning product or application by making HTTP or WebSocket requests. The API accepts audio files in recommended formats and supports various question types, such as phoneme, word, sentence, and chapter modes. You can refer to the documentation for detailed instructions and guidelines on API usage.

ClearCypherAI

Text-to-Audio (T2A)
Audio-to-Text (A2T)
Audio-to-Audio (A2A)
Fine-tuned GPT models for multilingual text-to-text tasks
Voiceprint & Synthesis for targeting specific voices or detecting anomalies
Threat Assessment platform for AI-based threat analysis
In-house AI research and development
Built natural language datasets
Ability to deploy AI solutions in air gapped environments
Fine-tuning capabilities for domain-specific data and engines

To use ClearCypherAI, you can request a demo to explore their capabilities. They offer products such as automated speech recognition (ASR) for converting audio to text, voice synthesis for converting text to audio, and fine-tuned GPT models for text-to-text tasks. You can also benefit from their voiceprint and synthesis feature, threat assessment platform, in-house AI research, and access to built natural language datasets. They provide full customer support and services, including building custom AI platforms and datasets, API hosting, feature customization, and more. Additionally, ClearCypherAI offers AI solutions that can be deployed in air gapped environments.

Newest voice recognition api AI Websites

AI-powered platform for audio-visual content creation
Voice-driven Bing AI extension for easy interactions.
Real-time speech-to-text and text-to-speech APIs powered by Deepgram's voice AI models

voice recognition api Core Features

Audio-to-text conversion

Transcribes spoken words into written text.

Real-time transcription

Converts speech to text in real-time, enabling live captioning and immediate processing.

Multiple language support

Recognizes and transcribes speech in various languages and accents.

Speaker identification

Distinguishes between different speakers in a conversation or recording.

Noise reduction

Filters out background noise and enhances speech clarity for improved accuracy.

What is voice recognition api can do?

Customer service: Transcribing customer calls for quality assurance and training purposes.

Healthcare: Documenting patient encounters and generating medical reports through dictation.

Legal: Transcribing court proceedings, depositions, and legal documents for record-keeping and analysis.

Education: Providing real-time captions for online courses and transcribing educational content for students.

Media and entertainment: Subtitling videos, transcribing podcasts, and generating closed captions for live events.

voice recognition api Review

Users generally praise voice recognition APIs for their accuracy, ease of integration, and time-saving capabilities. Many appreciate the ability to transcribe speech in real-time and the support for multiple languages. However, some users note that accuracy can be affected by factors such as background noise, accents, and domain-specific terminology. Users also emphasize the importance of choosing a provider with strong security and privacy measures. Overall, voice recognition APIs are seen as valuable tools for a wide range of applications, from accessibility and user experience to productivity and cost savings.

Who is suitable to use voice recognition api?

A user dictates a text message or email to their smartphone, which transcribes the speech and sends the message.

A user asks a virtual assistant to set a reminder or play a song, and the assistant interprets the voice command.

A user speaks into a smart home device to control lights, thermostats, or other connected appliances.

A user records a lecture or meeting, and the voice recognition API automatically transcribes the audio for later reference.

How does voice recognition api work?

To use a voice recognition API, developers typically need to follow these steps: 1. Choose a voice recognition API provider and sign up for an API key. 2. Integrate the API into their software application using the provided SDK or REST endpoints. 3. Pass audio data to the API, either in real-time or as pre-recorded files. 4. Receive the transcribed text from the API and process it according to the application's requirements. 5. Optionally, train the API with domain-specific terminology or custom language models to improve accuracy.

Advantages of voice recognition api

Improved accessibility: Enables voice-based interaction for users with disabilities or limited mobility.

Enhanced user experience: Provides a natural and intuitive way for users to interact with applications.

Increased productivity: Allows for hands-free operation and faster input compared to typing.

Cost savings: Automates transcription tasks, reducing the need for manual labor.

Multilingual support: Facilitates communication and collaboration across different languages.

FAQ about voice recognition api

What is a voice recognition API?
How accurate are voice recognition APIs?
Can voice recognition APIs handle multiple languages?
Are voice recognition APIs secure and private?
How much does it cost to use a voice recognition API?
Can voice recognition APIs be integrated into mobile apps?