The audio-to-text applications are always useful for users to transcribe interview notes or other important recordings for professional purposes. They also help to increase efficiency and store the recordings safely and soundly via the cloud. Depending on their needs, users can choose an app with customisable language for commonly used words or industry terms. Transcription tools record a conversation and turn that file into text, which speeds up your work. In certain software, users can also be able to identify multiple speakers and add timestamps automatically. From saving time to making content more accessible, here are a few tools that are helpful in audio-to-text transcription.

Otter: Otter is a voice-first app for conversations and meetings. Its AI-powered note-taking features help to search for and share voice conversations. Users only need to connect their calendar and set up their Otter Assistant to join the meeting, which will then take the notes.

Scribie: Scribie uses a large dataset to create a deep learning-based speech and language model to power their automated transcription service. Scribie retrains their models using the transcripts that have been corrected manually via the online editor. Using the ML algorithm, it analyses the automated transcript to give an accuracy estimate.

TranscribeMe: TranscribeMe offers machine transcription as well as human transcription. It uses advanced computer-generated speech recognition algorithms. Users need to upload the file to the customer portal and order the transcription. Once the transcription is done, the user’s transcript will then be ready to be downloaded.

Speak: It is no-code recording, transcription, and analysis engine software to convert video and audio files into text automatically. As per the company’s claim, it will take about 10 minutes to complete a transcription with up to 95 per cent accuracy.

Beey: Beey transcribes speech automatically and recognises speech in 20 languages. It also comes with a manual editing facility, and professional editors can check the text after it is transcribed automatically by their app.

Transcription is one of the tasks that requires the use of AI. Despite occasional inaccuracies, these software tools significantly expedite the process, often requiring only minimal time for error correction, thus saving valuable time overall.