Automatically transcribe voice recordings, podcasts, speeches, dialogues, and more. Simple upload your
audios (MP3, WAV, M4A, etc) to a folder on the gallery, select the TXT output, and get the text extracted
from every selected file.
Abraia supports from MP3 and WAV to almost every audio format. It also identifies the speech language
Transcribe audio to text
Convert videos to text online. Select the videos from the
gallery and get the transcription text at bulk. You can upload any popular video format (MP4, MOV,
AVI, FLV, etc). Remember that videos with no identifiable speech will fail, so ignore that output.
With the automatic audio transcription from multiple languages, you can even get all your text
translated to the same language.
How to convert audio to text online from multiple files
Manually transcribing audio is an arduous task which can take hours. This has made extremely popular
using AI technology for converting audio to text. Moreover, using an online tool you do not have to
download or install any app.
Now, with Abraia Studio you can automatically transcribe multiple audio files at once. You can even
translate the audio text into your desired language automatically. Just upload your files and get the
text of the speech transcription at bulk.
Upload your audios
Create a new folder (to organize your work) and upload your video and audio files (up to 30 minutes or
1GB each) or select them from the gallery. Then click "export" to open the dialog box and configure the
Select the text output
Simply choose the output TXT, VTT, or SRT to auto transcribe the selected files. Then, select an output
language if you want to automatically translate the transcribed text or subtitles. You can even generate
versions on several languages, at the same time, adding additional variants.
Transcribe the audios
Click "export" to start the bulk transcription. The language will be automatically identified for every
video or audio file. Text files will be ready to download when transcription has finished. -Tasks with no
identifiable speech will fail, simply ignore them.-