About Happy Scribe
Happy Scribe uses the best-automated transcription technology to transcribe audio to text within a few minutes. We accept over 30 audio file formats including AIFF, M4A, MP3, MP4, WAV, and WMA. There is also no file size limit and we are able to transcribe over 119 languages and accents, including English, French, German and Spanish.Transcribe my Podcast
Transcribing a podcast can help drive up organic search results because text can be indexed whereas audio can’t. Transcribing a podcast can also increase viewership by making content accessible to the Deaf, Hard of Hearing, and non-native language speakers. Additionally, transcribing a podcast can provide an easy way to generate new content like blog posts, show notes, and e-newsletters. However, manually converting one hour of audio to text can take up to four hours. By using a podcast transcription service, you can convert an hour podcast in a matter of minutes.
Ongoing technological advances continue to improve the accuracy rate of podcast audio transcription. Depending on the audio quality, speaker accents, and technical jargon, the best podcast transcription service can achieve up to 90% accuracy.
To get the highest possible accuracy rate for your podcast audio transcription you need to upload a high-quality audio file. To obtain a high-quality audio file, it is advised that you maintain a consistent recording environment, avoid background noise, use quality microphones, and ensure that speakers talk directly into the microphone and avoid talking over one another.
At Happy Scribe, we understand that podcasts often feature multiple speakers within the same audio file. Therefore, we do not limit the number of speakers with our podcast transcription app. Additionally, we are able to recognise when a speaker changes, so you just have to write their name.
Happy Scribe will transcribe any length of the file. There is no file size limit, meaning you don’t have to trim your podcast and submit multiple files. We also accept over 30 audio file formats including AIFF, M4A, MP3, MP4, WAV, and WMA, making podcast audio transcription quick and easy.
Meet the ultimate transcription tool. 👌
By syncronizing audio and text within a light and friendly interface, we've made transcription super easy.
We recognise when the speaker changes. You just have to write their name.
Highlight & comment
Adding comments is useful when collaborating with colleagues
Add timestamps where you want in the text. (Can be exported)
You can export in Word, TXT, SRT, VTT, STL, HTML, AVID and Premiere Markers.
On Happy Scribe, you can share a view-only or editable page of your transcript.
Correct faster by looking only at the places where the algorithm struggled.