Audio and video transcription to text
Support for 98+ languages
Unlimited transcription service
Speaker recognition
Built-in translation
Multiple export formats (PDF, DOCX, SRT, TXT)
Audio restoration tool
Transcriptmate, Transcribe Live, AI Transcribe: Speech to Text, Audio Note Taking App, ChatVocGPT, Free Unlimited Audio, Video to text Transcription, WordPress Transcribe AI, Happy Scribe, Notta, ListenMonster are the best paid / free audio text transcription tools.






Audio text transcription is the process of converting spoken words in an audio file into written text. It has a long history, starting with manual transcription and evolving to include AI-powered automated speech recognition (ASR) systems. Audio text transcription is significant for making audio content more accessible, searchable, and analyzable.
Core Features
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Price
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How to use
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|---|---|---|---|
TurboScribe | Audio and video transcription to text |
TurboScribe Free Free 3 Transcripts Daily, 30 Minute Uploads, Lower Priority
| Upload an audio or video file, select the audio language, choose a transcription mode (Cheetah, Dolphin, or Whale), and enable speaker recognition or audio restoration if needed. Then, click 'Transcribe' to generate the text. |
Adobe Podcast | AI-powered audio enhancement | While the full product is under waitlist, Adobe Podcast currently offers two free quick tools: 'Enhance Speech' to remove background noise and echo, and 'Mic Check' to optimize microphone sound. The full platform will allow users to record, transcribe, edit, and share audio directly on the web. | |
Otter.ai | Real-time transcription |
Basic Free AI meeting assistant records, transcribes and summarizes in real time. 300 monthly transcription minutes; 30 minutes per conversation; Import and transcribe 3 audio or video files lifetime per user
| Otter.ai auto-joins Zoom, Google Meet, and Microsoft Teams meetings to automatically take notes. Users can follow along live on the web or on the iOS or Android app. Otter AI Chat can be used to get answers and generate content like emails and status updates. Action items are automatically captured and assigned. |
Speechify | Text-to-speech conversion |
Free Free Basic text-to-speech functionality
| Install the Speechify app or browser extension, select the text you want to hear, and press play. You can customize the voice, speed, and language. |
Happy Scribe | Automatic transcription and subtitling |
Starter Pay as you go From $12 per 60 min
| Upload your audio or video file to Happy Scribe's platform. Choose between automatic or human-made transcription/subtitling. Review and edit the generated text using the interactive editor. Export the final transcript or subtitles in various formats. |
Deepgram | Free AI-powered speech-to-text transcription | To use Deepgram's transcription tool: 1. Select your language from over 36 options. 2. Choose your input method: speak directly, upload an audio file, or enter a YouTube link. 3. Once complete, copy the text or download it as a .txt file. | |
Transkriptor | Audio and video transcription |
Pro $19.99/month (monthly) or $8.33/month (annual) 2,400 minutes/month for transcriptions
| To use Transkriptor, users can upload audio or video files to the platform, record audio directly within the app, or integrate it with meeting platforms like Zoom and Google Meet. The AI then generates a transcript, which can be edited, translated, and downloaded in multiple formats. |
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. |
Zeemo | Automatic subtitle generation |
Free $0 /month 120 credits/year, Subtitle video length up to 1 minute, 720P export
| Users can upload videos to Zeemo through the browser or app, click the 'Caption' button to add, translate, or edit subtitles, and then export the fully captioned video or SRT caption file. |
Transcript LOL | Audio to text conversion |
Starter Contact for Pricing 600 minutes
| Create an account, upload your audio or video file, and Transcript LOL will generate a transcript and insights in minutes. |

AI Speech-to-Text
AI Transcriber
AI Transcription
Audio To Text AI
AI Summarizer
AI Subtitle Generator
AI Translate
AI Video Summarizer
AI Youtube Summary
Media and entertainment: Transcribing podcasts, interviews, and videos for subtitles and content repurposing.
Education: Transcribing lectures, webinars, and educational content for student accessibility and study materials.
Legal and law enforcement: Transcribing court proceedings, interrogations, and wiretaps for record-keeping and analysis.
Healthcare: Transcribing doctor-patient conversations, medical dictations, and telemedicine consultations for documentation and analysis.
Customer service: Transcribing customer call recordings for quality assurance, training, and analytics.
Users praise audio text transcription for its time-saving capabilities, ease of use, and support for multiple languages. Some users note that accuracy can vary depending on audio quality and speaker accents, requiring manual review and editing. Overall, users find audio text transcription to be a valuable tool for making audio content more accessible and actionable.
A student uses audio text transcription to generate written notes from a recorded lecture.
A journalist transcribes an interview recording for quoting in an article.
A podcast listener uses audio text transcription to search for specific topics within an episode.
To use audio text transcription, follow these steps: 1. Obtain an audio file in a supported format (e.g., MP3, WAV). 2. Select an audio text transcription service or tool. 3. Upload or provide the audio file to the service. 4. Choose the desired settings (e.g., language, speaker identification). 5. Start the transcription process. 6. Review and edit the generated text for accuracy. 7. Export or integrate the transcribed text as needed.
Increased accessibility of audio content for people with hearing impairments.
Improved searchability and discoverability of audio content.
Easier analysis and indexing of large volumes of audio data.
Time and cost savings compared to manual transcription.
Enables the creation of subtitles, captions, and written transcripts.







































