Audio transcription to text using Whisper API
Support for various audio file formats (MP3, WAV, M4A, FLAC)
Free credits for new users
Large file size support (up to 100MB)
Recos, Hello Transcribe, Transcribe Live, Dictate4Me, AI Transcribe: Speech to Text, Wave: AI Note Taker, VoiceRec: AI Vocal Recorder are the best paid / free app to transcribe audio to text tools.






Audio-to-text transcription apps convert spoken words in an audio file into written text using speech recognition technology. These apps have become increasingly popular and accurate in recent years, allowing users to easily transcribe lectures, meetings, interviews, and other audio content.
Core Features
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Price
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How to use
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Recos | Audio transcription to text using Whisper API | Users can either use their own OpenAI API key or log in to use the credits provided by Recos to transcribe audio files into text. |

AI Transcription
AI Speech-to-Text
Audio To Text AI
AI Transcriber

AI Note Taker
AI Transcription
AI Summarizer
AI Meeting Assistant
AI Speech-to-Text
AI Notes Generator
AI Recording
AI Productivity Tools
Media and entertainment: Transcribing podcasts, videos, and interviews
Education: Transcribing lectures, seminars, and educational content
Legal and law enforcement: Transcribing court proceedings, depositions, and interrogations
Healthcare: Transcribing doctor-patient conversations and medical reports
Business: Transcribing meetings, conference calls, and customer service interactions
User reviews of audio-to-text transcription apps are generally positive, with many praising their accuracy, ease of use, and time-saving capabilities. Some users note occasional inaccuracies with transcription, particularly with heavy accents or poor audio quality, but most find the apps to be reliable and efficient overall. Many users appreciate the ability to edit and refine transcripts within the apps, as well as the support for multiple languages and file formats.
A student records a lecture and uses a transcription app to create written notes for studying.
A journalist records an interview and transcribes it for quoting in an article.
A content creator uses a transcription app to generate subtitles for a video.
A researcher transcribes focus group audio for qualitative analysis.
To use an audio-to-text transcription app, users typically upload or record an audio file within the app. The app then processes the audio using speech recognition algorithms and generates a text transcript. Users can often customize settings like playback speed, speaker labels, and output format. Many apps allow users to edit and refine the transcript to ensure accuracy.
Saves time by automating the transcription process
Makes audio content more accessible and searchable
Facilitates note-taking and content creation
Enables real-time captioning for live events or conversations
Supports multiple languages and accents







































