stream-translator-gpt

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stream-translator-gpt is a command-line tool for real-time transcription and translation of live streams.

Try it on Colab:

(Due to frequent scraping and theft of API keys, we are unable to provide a trial API key. You need to fill in your own API key.)

Pipeline

flowchart LR
    subgraph ga["`**Input**`"]
        direction LR
        aa("`**FFmpeg**`")
        ab("`**Device audio**`")
        ac("`**yt-dlp**`")
        ad("`**Local media file**`")
        ae("`**Live streaming**`")
        ac --> aa
        ad --> aa
        ae --> ac
    end
    subgraph gb["`**Audio Slicing**`"]
        direction LR
        ba("`**Silero VAD**`")
    end
    subgraph gc["`**Transcription**`"]
        direction LR
        ca("`**Whisper**`")
        cb("`**Faster-Whisper**`")
        cc("`**Simul Streaming**`")
        cd("`**OpenAI Transcription API**`")
    end
    subgraph gd["`**Translation**`"]
        direction LR
        da("`**GPT API**`")
        db("`**Gemini API**`")
    end
    subgraph ge["`**Output**`"]
        direction LR
        ea("`**Print to terminal**`")
        ee("`**Save to file**`")
        ec("`**Discord**`")
        ed("`**Telegram**`")
        eb("`**Cqhttp**`")
    end
    aa --> gb
    ab --> gb
    gb ==> gc
    gc ==> gd
    gd ==> ge

Loading

Uses yt-dlp to extract audio data from live streams.

Dynamic threshold audio slicing based on Silero-VAD.

Use Whisper / Faster-Whisper / Simul Streaming locally or call OpenAI Transcription API remotely for transcription.

Use OpenAI's GPT API / Google's Gemini API for translation.

Finally, the results can be printed to the terminal, saved to a file, or sent to a group via social media bot.

Prerequisites

Linux or Windows:

1. Python >= 3.8 (Recommend >= 3.10)
2. Install CUDA on your system.
3. Install cuDNN to your CUDA dir if you want to use Faster-Whisper.
4. Install PyTorch (with CUDA) to your Python.
5. Create a Google API key if you want to use Gemini API for translation. (Free 15 requests / minute)
6. Create a OpenAI API key if you want to use OpenAI Transcription API for transcription or GPT API for translation.

If you are in Windows, you also need to:

1. Install and add ffmpeg to your PATH.
2. Install yt-dlp and add it to your PATH.

Installation

Install release version from PyPI (Recommend):

pip install stream-translator-gpt -U
stream-translator-gpt

or

Clone master version code from Github:

git clone https://github.com/ionic-bond/stream-translator-gpt.git
pip install -r ./stream-translator-gpt/requirements.txt -U
python3 ./stream-translator-gpt/translator.py

Usage

The commands on Colab are the recommended usage, below are some other commonly used options.

• Transcribe live streaming (default use Whisper):

  stream-translator-gpt {URL} --model large --language {input_language}

• Transcribe by Faster Whisper:

  stream-translator-gpt {URL} --model large --language {input_language} --use_faster_whisper

• Transcribe by Simul Streaming:

  stream-translator-gpt {URL} --model large --language {input_language} --use_simul_streaming

• Transcribe by OpenAI Transcription API:

  stream-translator-gpt {URL} --language {input_language} --use_openai_transcription_api --openai_api_key {your_openai_key}

• Translate to other language by Gemini:

  stream-translator-gpt {URL} --model large --language ja --translation_prompt "Translate from Japanese to Chinese" --google_api_key {your_google_key}

• Translate to other language by GPT:

  stream-translator-gpt {URL} --model large --language ja --translation_prompt "Translate from Japanese to Chinese" --openai_api_key {your_openai_key}

• Using OpenAI Transcription API and Gemini at the same time:

  stream-translator-gpt {URL} --model large --language ja --use_openai_transcription_api --openai_api_key {your_openai_key} --translation_prompt "Translate from Japanese to Chinese" --google_api_key {your_google_key}

• Local video/audio file as input:

  stream-translator-gpt /path/to/file --model large --language {input_language}

• Computer microphone as input:

  stream-translator-gpt device --model large --language {input_language}

  Will use the system's default audio device as input.

  If you want to use another audio input device, stream-translator-gpt device --list_devices get device index and then run the CLI with --device_index {index}.

  If you want to use the audio output of another program as input, you need to enable stereo mix.

• Sending result to Discord:

  stream-translator-gpt {URL} --model large --language {input_language} --discord_webhook_url {your_discord_webhook_url}

• Sending result to Telegram:

  stream-translator-gpt {URL} --model large --language {input_language} --telegram_token {your_telegram_token} --telegram_chat_id {your_telegram_chat_id}

• Sending result to Cqhttp:

  stream-translator-gpt {URL} --model large --language {input_language} --cqhttp_url {your_cqhttp_url} --cqhttp_token {your_cqhttp_token}

• Saving result to a .srt subtitle file:

  stream-translator-gpt {URL} --model large --language ja --translation_prompt "Translate from Japanese to Chinese" --google_api_key {your_google_key} --hide_transcribe_result --retry_if_translation_fails --output_timestamps --output_file_path ./result.srt

All options

Option	Default Value	Description
Input Options
URL		The URL of the stream. If a local file path is filled in, it will be used as input. If fill in "device", the input will be obtained from your PC device.
--format	ba/wa*	Stream format code, this parameter will be passed directly to yt-dlp. You can get the list of available format codes by yt-dlp {url} -F
--cookies		Used to open member-only stream, this parameter will be passed directly to yt-dlp.
--input_proxy		Use the specified HTTP/HTTPS/SOCKS proxy for yt-dlp, e.g. http://127.0.0.1:7890.
--device_index		The index of the device that needs to be recorded. If not set, the system default recording device will be used.
--list_devices		Print all audio devices info then exit.
--device_recording_interval	0.5	The shorter the recording interval, the lower the latency, but it will increase CPU usage. It is recommended to set it between 0.1 and 1.0.
Audio Slicing Options
--min_audio_length	0.5	Minimum slice audio length in seconds.
--max_audio_length	30.0	Maximum slice audio length in seconds.
--target_audio_length	5.0	When dynamic no speech threshold is enabled (enabled by default), the program will slice the audio as close to this length as possible.
--continuous_no_speech_threshold	1.0	Slice if there is no speech during this number of seconds. If the dynamic no speech threshold is enabled (enabled by default), the actual threshold will be dynamically adjusted based on this value.
--disable_dynamic_no_speech_threshold		Set this flag to disable dynamic no speech threshold.
--prefix_retention_length	0.5	The length of the retention prefix audio during slicing.
--vad_threshold	0.35	Range 0~1. the higher this value, the stricter the speech judgment. If dynamic VAD threshold is enabled (enabled by default), this threshold will be adjusted dynamically based on the input speech's VAD results.
--disable_dynamic_vad_threshold		Set this flag to disable dynamic VAD threshold.
Transcription Options
--model	small	Select Whisper/Faster-Whisper/Simul Streaming model size. See here for available models.
--language	auto	Language spoken in the stream. See here for available languages.
--use_faster_whisper		Set this flag to use Faster Whisper implementation instead of the original OpenAI implementation
--use_simul_streaming		Set this flag to use Simul Streaming implementation instead of the original OpenAI implementation
--use_openai_transcription_api		Set this flag to use OpenAI transcription API instead of the original local Whipser.
--whisper_filters	emoji_filter	Filters apply to whisper results, separated by ",". We provide emoji_filter and japanese_stream_filter.
Translation Options
--openai_api_key		OpenAI API key if using GPT translation / Whisper API. If you have multiple keys, you can separate them with "," and each key will be used in turn.
--google_api_key		Google API key if using Gemini translation. If you have multiple keys, you can separate them with "," and each key will be used in turn.
--gpt_model	gpt-5-nano	OpenAI's GPT model name, gpt-5 / gpt-5-mini / gpt-5-nano
--gemini_model	gemini-2.5-flash-lite	Google's Gemini model name, gemini-2.0-flash / gemini-2.5-flash / gemini-2.5-flash-lite
--translation_prompt		If set, will translate the result text to target language via GPT / Gemini API (According to which API key is filled in). Example: "Translate from Japanese to Chinese"
--translation_history_size	0	The number of previous messages sent when calling the GPT / Gemini API. If the history size is 0, the translation will be run parallelly. If the history size > 0, the translation will be run serially.
--translation_timeout	10	If the GPT / Gemini translation exceeds this number of seconds, the translation will be discarded.
--gpt_base_url	https://api.openai.com/v1	Customize the API endpoint of GPT.
--gemini_base_url		Customize the API endpoint of Gemini.
--processing_proxy		Use the specified HTTP/HTTPS/SOCKS proxy for Whisper/GPT API (Gemini currently doesn't support specifying a proxy within the program), e.g. http://127.0.0.1:7890.
--use_json_result		Using JSON result in LLM translation for some locally deployed models.
--retry_if_translation_fails		Retry when translation times out/fails. Used to generate subtitles offline.
Output Options
--output_timestamps		Output the timestamp of the text when outputting the text.
--hide_transcribe_result		Hide the result of Whisper transcribe.
--output_proxy		Use the specified HTTP/HTTPS/SOCKS proxy for Cqhttp/Discord/Telegram, e.g. http://127.0.0.1:7890.
--output_file_path		If set, will save the result text to this path.
--cqhttp_url		If set, will send the result text to the cqhttp server.
--cqhttp_token		Token of cqhttp, if it is not set on the server side, it does not need to fill in.
--discord_webhook_url		If set, will send the result text to the discord channel.
--telegram_token		Token of Telegram bot.
--telegram_chat_id		If set, will send the result text to this Telegram chat. Needs to be used with "--telegram_token".

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