SamNet AI Transcription

Our tool follows a secure, multi-step process:
1. Input: You provide either a local file (like MP3, WAV, MP4) or a YouTube URL.
2. Processing: If you provide a URL, our server securely downloads only the audio stream. For files, we process the uploaded audio directly. All temporary files are deleted immediately after processing.
3. AI Transcription: The audio data is sent to a powerful AI model which converts the speech to text.
4. Formatting: The AI's response, which includes the text, timestamps, and speaker labels (if enabled), is formatted and displayed back to you in the browser.

We use a state-of-the-art model called whisper-large-v3 through a turbo-charged API. This means the model is run on highly optimized hardware using techniques like batch processing to dramatically speed up transcription. For you, this means getting your transcript in seconds or minutes—not hours—without a noticeable loss in quality compared to standard implementations. Accuracy is still primarily affected by factors like audio quality, background noise, and speaker clarity.

When you enable "Identify Speakers," the AI performs an additional analysis step called diarization. It analyzes the distinct vocal characteristics in the audio to differentiate between speakers. It then assigns generic labels like "Speaker A," "Speaker B," etc., to each segment of speech. This is extremely useful for transcribing interviews, meetings, or podcasts. For the best results, ensure each speaker can be heard clearly.

We offer two useful formats for different needs:
- .txt (Plain Text): This is a simple text file containing the full transcript, perfect for reading, copying into documents, or using for analysis.
- .srt (Subtitle File): This is a special format that contains the text broken down into segments with precise start and end timestamps. SRT files are the standard for creating video captions on platforms like YouTube, Vimeo, or in video editing software.

Our tool is highly flexible and accepts a wide range of common audio and video formats, including MP3, MP4, M4A, WAV, and FLAC. It works well for various types of content, from clear, single-speaker lectures to multi-speaker interviews. For best results, always aim for the highest audio quality possible.

The current 10-minute limit allows us to offer this tool for free while managing server costs and ensuring fast processing times for all users. Processing longer files, especially with speaker identification, requires significant computational resources. We may offer options for longer transcriptions in the future.

Absolutely. Security is our top priority. All processing happens on our secure server, and we have a strict data policy: we do not store your media files or the resulting transcripts. All uploaded data is processed and deleted immediately after the transcription is complete and the result has been sent to you.