Speech/Video-to-Text

What is the Audio/Video Transcription tool?

A tool that converts audio and video content into text.

You can transcribe lectures, meetings, and interview recordings — then use the text for search, summarization, and translation.

Two input methods are supported.

1. File upload — mp3, mp4, m4a, wav, mov, etc.
2. Direct file URL — a URL pointing to the file itself, like https://example.com/audio.mp3

When can you use it?

The Audio/Video Transcription tool is especially useful in these situations.

• Turning a meeting recording into written minutes
• Transcribing the content of lectures or seminar videos
• Organizing interview audio into reference material
• Drafting subtitles for a video
• Using transcribed text for search, summarization, or translation

For example, you can naturally ask things like "[audio file attached] Please convert this meeting recording to text", "[video file attached] Please transcribe this lecture video", or "[audio file attached] Please organize this interview audio into text". The AI will then use this tool to generate the result.

How to use it

There are two ways to use it.

When uploading a file directly:

[Audio/video file attached] + [Request to transcribe]

When using a file URL:

[URL pointing to the file] + [Request to transcribe]

Here are some examples:

• Meeting minutes: "[Audio file attached] Please convert this meeting recording to text"
• Lecture transcription: "[Video file attached] Please transcribe this lecture video"
• Interview organization: "[Audio file attached] Please organize this interview audio into text"
• File URL: "Please transcribe this audio file: https://example.com/lecture.mp3"

Practical request checklist

For a stronger Speech/Video-to-Text request, state the goal, input, scope, and output format together. Adding one more layer of constraints beyond the basic examples reduces follow-up questions and makes the result easier to use.

• Provide the image, audio, video, or URL and add the question you want answered.
• Choose the focus: OCR, scenes, speakers, timestamps, actions, or visual tone.
• Set the output as an overview, segment table, transcript, or action-item list.

Review, save, and reuse the result

Treat the Speech/Video-to-Text result as a draft or a snapshot taken at query time. Check the following before carrying it into the next task.

• Compare the result with the original where blur, noise, or overlapping speakers may cause errors.
• Replay consequential statements at the supplied timestamps.
• Treat face- or personality-based interpretations as entertainment, not a real personality diagnosis.