Audio Transcription

Audio Transcription is an online tool that converts audio and video files into text. The tool provides multiple output formats, speaker labels, timestamps, translation, and other features, suitable for meeting notes, subtitle creation, content archiving, and more.

Key Features

Multi-Format Support

Input Formats: Supports common audio formats (MP3, WAV, FLAC, AAC, OPUS, OGG, M4A) and video formats (MP4, MPEG, MOV, WebM).

Output Formats: Provides five output formats including JSON, plain text, SRT subtitles, VTT subtitles, and detailed JSON to meet different usage scenarios.

Speaker Identification

When speaker labels are enabled, the tool can distinguish and label different speakers. You can set the expected range of speaker numbers to improve transcription accuracy in multi-person conversation scenarios.

Multi-Language Recognition

Supports automatic recognition and transcription of over 100 languages. You can also manually specify the audio language to improve recognition accuracy.

Timestamps & Translation

In detailed JSON mode, you can enable word-level timestamps to precisely record the time position of each word. Supports translating non-English audio into English output.

Custom Prompts

Guide transcription behavior through prompts, such as specifying technical terms, names, place names, etc., to improve recognition accuracy for specific domain content.

How to Use

1. Upload an audio or video file (maximum 100MB)
2. Select output format (JSON, Text, SRT, VTT, Detailed JSON)
3. Choose audio language (optional, leave blank for auto-detection)
4. Enable speaker labels, translation, timestamps, etc. as needed
5. Click the transcribe button to start processing
6. Wait for transcription to complete, view or download results

Parameter Descriptions

Output Format:

• JSON: Structured text output, convenient for programmatic processing
• Text: Plain text format, suitable for direct reading or editing
• SRT: Standard subtitle format, compatible with most video players
• VTT: Web subtitle format, suitable for HTML5 video
• Detailed JSON: Contains word-level timestamps and detailed metadata

Language: Specify the language used in the audio. Selecting the correct language can improve recognition accuracy. Leave blank for automatic detection.

Speaker Labels: When enabled, distinguishes and labels different speakers. Optionally set minimum and maximum speaker counts to help the system more accurately differentiate speakers.

Prompt: Provide contextual information or specific terminology to guide the transcription system to correctly recognize technical vocabulary, names, place names, etc. For example: "This is a meeting about machine learning, featuring speakers John and Jane."

Translation: When enabled, translates non-English audio content into English output.

Timestamp Granularity: Only available in detailed JSON format. When enabled, provides word-level timestamp information.

Application Scenarios

Meeting Notes

Convert meeting recordings into written records, enable speaker labels to distinguish different speakers, and improve meeting minutes organization efficiency.

Subtitle Creation

Generate SRT or VTT format subtitle files for video content, directly import into video editing software or players.

Interview Organization

Convert interview recordings into written transcripts, convenient for subsequent editing and content analysis.

Course Notes

Convert classroom recordings or online courses into text notes, convenient for review and retrieval.

Podcast Archiving

Generate text versions of podcast episodes, improving content searchability and accessibility.

Legal & Medical

Transcribe legal consultations, medical consultations, and other dialogue content for record archiving and subsequent analysis.

Usage Tips

Improving Recognition Accuracy

Audio Quality: Use clear recordings with minimal noise. Avoid excessive background noise or low volume.

Language Selection: If you know the audio language, manual selection is recommended rather than relying on automatic detection, which can significantly improve accuracy.

Use Prompts: For content containing technical terms, names, or place names, explain them in advance in the prompt to help the system recognize them correctly.

Using Speaker Labels

If the audio contains multi-person dialogue, enable speaker labels and set a reasonable range for speaker count. For example, for a two-person conversation, set minimum 2 and maximum 2 speakers; for a multi-person meeting, set minimum 3 and maximum 10 speakers.

Choosing the Right Output Format

Need subtitle files: Choose SRT or VTT format.

Need programmatic processing: Choose JSON or Detailed JSON format.

Only need readable text: Choose Text format.

Need timestamp information: Choose Detailed JSON and enable timestamp granularity.

Important Notes

The tool consumes credits based on audio duration and selected features.

Transcription accuracy is affected by audio quality, speaker accents, background noise, speech rate, and other factors. High-quality recording equipment and quiet environments are recommended.

Speaker identification works best when speakers have distinct voice characteristics. Similar voices or frequent interruptions may cause confusion.

Translation feature only supports translating non-English content into English. Other translation directions are not currently supported.

File size limit is 100MB. For larger files, consider compressing or segmenting before processing.

Frequently Asked Questions

What if transcription results have many errors?

Check if the audio quality is clear. Try manually selecting the correct language. In the prompt, explain the topic and key terms of the audio content.

What if speaker labels are inaccurate?

Ensure the speaker count is set reasonably. Check if different speakers in the audio have distinct voice characteristics. If multiple speakers sound similar, recognition accuracy will decrease.

How do I use generated subtitles in videos?

Export in SRT or VTT format. Most video editing software (Premiere, Final Cut Pro, CapCut) and players (VLC, PotPlayer) support importing these subtitle formats.

Does it support real-time transcription?

The tool currently only supports transcribing complete uploaded audio files. Real-time transcription is not supported.

Can transcribed text be used directly as official documents?

Transcription results should be used as drafts. Before publishing formal documents, perform manual proofreading and editing to ensure accuracy and fluency.