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Podcast Transcription Software
Speech to Text Converter

Happy Scribe’s podcast transcription service uses automatic transcription software to convert podcasts to text in a matter of minutes. Our podcast transcription app can transcribe files in English, French, German, Spanish and 119+ languages and accents.

Transcribe my Podcast

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

How to transcribe a podcast?

  1. Upload audio/video files. No size restriction and the first 10 minutes are free.
  2. Our automatic transcription software will transcribe podcast audio to text automatically in just a few minutes.
  3. Proofread and edit. The podcast transcription app has a very high accuracy rate, but no podcast audio transcription is 100% perfect.
  4. Click on export and choose your preferred file format - TXT, DOCX, PDF, and HTML. It’s that easy to use Happy Scribe’s podcast transcription service.

Why should you transcribe your 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.

Transcribe my Podcast

Frequent Questions

How accurate is the best podcast transcription service?

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.

How can I improve the accuracy of my podcast audio transcription?

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.

How many speakers am I limited to on my audio file?

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.

How long of a file can I have transcribed?

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.

Transcribe my Podcast

The Interactive Editor

Meet the ultimate transcription tool to edit text online. 👌
A text editor that synchronizes audio and text within a light and friendly interface, we've made transcription super easy.

Speaker identification

We recognize when the speaker changes. You just have to write their name.

Highlight & comment

Adding comments is useful when collaborating with colleagues

Custom timestamps

Add timestamps where you want in the text. (Can be exported)

Export transcript

You can export in Word, PDF, TXT, SRT, VTT, STL, HTML, AVID and Premiere Markers.

Share publicly

On Happy Scribe, you can share a view-only or editable page of your transcript.

Proofreading Helper

Correct faster by looking only at the places where the algorithm struggled.

Try the interactive editor