Turn meetings, calls, and audio into accurate text. We compare the top AI transcription tools on accuracy, languages, and price.
AI transcription turns spoken audio into text quickly and accurately. It captures meetings, interviews, podcasts, and calls, labels who said what, and gives you a searchable record in minutes rather than the hours manual transcription used to take.
This category covers tools that transcribe audio and video. Below you can compare them on accuracy, language support, and price.
Speech-to-text and audio intelligence API for developers
They listen to a recording and produce a written transcript, often with timestamps and speaker labels so you know who said what. Many add summaries, highlights, and search, turning a long recording into something you can actually use. Some join meetings live and transcribe in real time.
Match the tool to your audio. For meetings, look for live transcription, speaker labels, and summaries. For interviews and content, prioritise accuracy and easy export. Test on a real recording in your language and setting, since accuracy is what matters and it varies between tools.
Start with the clearest audio you can, since clean speech gives the best accuracy. Use a decent microphone and reduce background noise where possible. Review the transcript for names and technical terms, which are the words AI most often gets wrong, and it becomes a reliable, searchable record.