Speech-to-Text API
Text-to-Speech API
Voice Agent API
Audio Intelligence API
SpeechFlow, MyGPT, Bing AI Voice Extension, SpeechEvalPro, Deepgram, Music AI, SteosVoice, ExpenSee, AssemblyAI, Bland AI are the best paid / free voice recognition api tools.






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.
Core Features
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Price
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How to use
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Deepgram | Speech-to-Text API | Free Trial $200 in free credits That can fuel transcription for 750 hours, or generate text-to-speech audio for ~200 hours. No credit card needed. | To use Deepgram, sign up for a free account to receive $200 in free credits. Explore the Playground to try models and APIs, transcribe sample audio files, or generate text-to-speech audio. Integrate Deepgram's APIs into your applications for speech-to-text, text-to-speech, and voice agent capabilities. |
AssemblyAI | Speech-to-Text |
Free Free Start building with $50 of free credits
| Users can leverage AssemblyAI's API to transcribe pre-recorded voice data, build voice agent workflows with low latency streaming speech-to-text, and enable deep analysis with audio-intelligence models. The platform also offers a no-code playground for testing AI models. |
Bland AI | AI phone agents that sound human |
Pay-as-you-go All for $0.09 a minute.
| Integrate Bland's API into your business systems to build AI phone agents that handle sales, scheduling, and customer support. Provide custom prompts and sample dialogues to personalize interactions. The platform offers auto-scaling infrastructure to handle thousands of calls. |
Label Studio | Support for multiple data types (images, audio, text, video, time series) |
Community Edition Free to use
| Label Studio can be installed via PIP, Brew, Git, or Docker. After installation, you can launch the tool, import data, create projects, and start labeling using customizable tags and templates. |
Music AI | AI-powered audio stem separation | Pricing Simple pricing, no commitment | Upload your own track to Music AI's platform and use the available AI audio models for stem separation, voice swapping, mixing & mastering, and more. |
SteosVoice | Text-to-speech conversion with 800+ voices |
Plan 1 $2 per month ~1222 minutes of speech, Voice over text, Download all files, Commercial use
| Users can either use the free Telegram bot for limited synthesis or subscribe to a paid plan for more extensive features. Simply input text, select a voice, and generate the audio. |
SpeechFlow | Multilingual speech-to-text conversion |
Free Free 30 mins online transcription per month, 5 hours API transcription per month, All 14 languages available, Time aligned transcription, 1 audio file concurrency limit, No credit card required to sign up
| Users can upload audio files or paste YouTube links to transcribe speech to text. The API can be integrated using code snippets in various languages like Curl, C#, Go, Java, Node.js, PHP, Python, Ruby, Rust, and TypeScript. |
MyGPT | Integration with GPT-4o and ClaudeAI |
Pro $19.99 a month 4 Private Bots, 0 Group Bots, OpenAI - gpt-4o, gpt-3.5-turbo, ClaudeAI - 3-5-sonnet
| Users can set up their bot in seconds by specifying its desired personality. The platform integrates with Telegram via @mygptlinkbot, allowing users to activate and design their own bots. Flexible API access enables usage on various devices and platforms. |
ClearCypher LLC | Automatic Speech Recognition (ASR) | To use ClearCypher's services, you can process audio, video, image, and text content through their AI solutions. You can also schedule a demo to explore their Automatic Speech Recognition and Machine Translation services. Contact them via email or through the contact form on their website. | |
ExpenSee | Natural language input | Use ExpenSee to record expenses anytime, anywhere using voice input. The app securely stores your data in iCloud. |

AI Audio Enhancer
AI API
AI Transcription
AI Video Editor
Large Language Models (LLMs)
AI Summarizer
AI Caption Generator
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.
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.
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.
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.
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.







































