stream-translator-gpt 2026.7.27

Command line tool to transcribe & translate audio from livestreams in real time

stream-translator-gpt

Real-time transcription and translation for live streams, local media files, and device audio. Available as a command-line tool and a Gradio WebUI.

Quick Start on Colab (Recommended)

The easiest way to use this tool, no local environment to set up, and Colab's performance is more than enough for stable everyday use. All you need is your own API key, depending on which services you use:

• Create a Google API key for Gemini API translation (recommended, since the Gemini Flash-Lite model has a free quota of 15 requests per minute / 500 per day)
• Create an OpenAI API key for OpenAI Transcription API transcription or GPT API translation (any OpenAI-compatible API can also be used)

Command Line	WebUI

(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.)

Local Installation (Advanced)

Running locally requires some experience with Python environments (especially on Windows) — you are essentially rebuilding an environment similar to Colab's. If in doubt, use Colab instead.

1. Python >= 3.10
2. FFmpeg (skip if already installed):
   • Windows: winget install ffmpeg
   • Linux (Debian/Ubuntu): sudo apt install ffmpeg
3. For local transcription (Whisper / Faster-Whisper / SimulStreaming / HuggingFace ASR) — not needed if you only use the OpenAI Transcription API:
   • Install CUDA on your system
   • Install PyTorch (with CUDA) to your Python
   • Install cuDNN to your CUDA dir if you want to use Faster-Whisper

Then install the package:

pip install stream-translator-gpt -U

Or with the WebUI included:

pip install stream-translator-gpt[webui] -U

Usage

WebUI

stream-translator-gpt-webui

Then open the printed local URL in your browser. All CLI features are available through the interface, and your settings can be saved as presets.

Command line

stream-translator-gpt URL [OPTIONS]

Transcription backends (default is local Whisper):

• stream-translator-gpt {URL} --language {input_language}
• Faster-Whisper: stream-translator-gpt {URL} --language {input_language} --use-faster-whisper
• SimulStreaming: stream-translator-gpt {URL} --language {input_language} --use-simul-streaming
• SimulStreaming with Faster-Whisper as the encoder: stream-translator-gpt {URL} --language {input_language} --use-simul-streaming --use-faster-whisper
• OpenAI Transcription API: stream-translator-gpt {URL} --language {input_language} --use-openai-transcription-api --openai-api-key {your_openai_key}
• HuggingFace ASR model (requires pip install stream-translator-gpt[hf_asr]; only models with pipeline_tag: automatic-speech-recognition on Hugging Face Hub are supported): stream-translator-gpt {URL} --model {hf_model_name} --use-hf-asr

Translation (enabled by setting --translation-prompt; the provider is chosen by which API key you fill in):

• By Gemini: stream-translator-gpt {URL} --language {input_language} --translation-prompt "Translate from {input_language} to {output_language}" --google-api-key {your_google_key}
• By GPT: stream-translator-gpt {URL} --language {input_language} --translation-prompt "Translate from {input_language} to {output_language}" --openai-api-key {your_openai_key}
• OpenAI Transcription API and Gemini at the same time: stream-translator-gpt {URL} --language {input_language} --use-openai-transcription-api --openai-api-key {your_openai_key} --translation-prompt "Translate from {input_language} to {output_language}" --google-api-key {your_google_key}

[!TIP] The translation prompt is passed to the LLM as-is, so it can carry more than just the language pair. If your API quota allows, give the model some context — who the streamer is, what the stream is about, preferred terminology — and it will translate more accurately and fix ASR errors more reliably.

Input sources (besides stream URLs):

• Local video/audio file: stream-translator-gpt /path/to/file --language {input_language}
• System audio (loopback): stream-translator-gpt device --language {input_language}
• Microphone: stream-translator-gpt device --mic --language {input_language}

Output destinations (besides the terminal):

• Discord: stream-translator-gpt {URL} --language {input_language} --discord-webhook-url {your_discord_webhook_url}
• Telegram: stream-translator-gpt {URL} --language {input_language} --telegram-token {your_telegram_token} --telegram-chat-id {your_telegram_chat_id}
• Cqhttp: stream-translator-gpt {URL} --language {input_language} --cqhttp-url {your_cqhttp_url} --cqhttp-token {your_cqhttp_token}
• .srt subtitle file (offline generation): stream-translator-gpt {URL} --language {input_language} --translation-prompt "Translate from {input_language} to {output_language}" --google-api-key {your_google_key} --no-show-transcribe-result --retry-if-translation-fails --output-timestamps --output-file-path ./result.srt

All Options

[!NOTE] All options accept both hyphens and underscores: --openai-api-key and --openai_api_key are equivalent. Every boolean option has an inverse --no-* form that turns it off (e.g. --no-dynamic-vad-threshold disables --dynamic-vad-threshold, which is on by default).

Option	Default Value	Description
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.
Overall Options
--openai-api-key		OpenAI API key if using GPT translation / OpenAI Transcription 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.
--openai-base-url		Customize the API endpoint of OpenAI (Affects GPT translation & OpenAI Transcription).
--google-base-url		Customize the API endpoint of Google (Affects Gemini translation).
--no-verify-ssl		Disable TLS certificate verification for OpenAI / Google API and HuggingFace downloads. Use this when your API endpoint or proxy has a self-signed or invalid certificate. If the base URL host is a bare IP, verification is disabled automatically.
--proxy		Used to set the proxy for all --*-proxy options if they are not specifically set. Also sets http_proxy environment variables.
Input Options
--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
--list-format		Print all available formats then exit.
--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.
--mic		Use microphone instead of system audio (loopback).
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.
--no-dynamic-no-speech-threshold		Disable dynamic no speech threshold (enabled by default).
--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 this value.
--no-dynamic-vad-threshold		Disable dynamic VAD threshold (enabled by default).
Transcription Options
--model	turbo	Select Whisper/Faster-Whisper/SimulStreaming model size. See here for available models.
--language	auto	Language spoken in the stream. Default option is to auto detect the spoken language. See here for available languages.
--use-faster-whisper		Use Faster-Whisper instead of Whisper. If used with --use-simul-streaming, SimulStreaming with Faster-Whisper as the encoder will be used.
--use-simul-streaming		Use SimulStreaming instead of Whisper. If used with --use-faster-whisper, SimulStreaming with Faster-Whisper as the encoder will be used.
--use-openai-transcription-api		Use OpenAI Transcription API instead of the original local Whisper.
--use-hf-asr		Use a HuggingFace ASR model. Use --model to specify the model ID. Requires pip install stream-translator-gpt[hf_asr].
--transcription-filters	emoji_filter,repetition_filter	Filters apply to transcription results, separated by ",". We provide emoji_filter and repetition_filter.
--no-language-based-filter		Disable the currently provided English, Chinese, and Japanese language filters based on ASR language (enabled by default).
--transcription-initial-prompt		General purpose prompt or glossary for transcription. Format: "Word1, Word2, Word3, ...". This text is always included in the prompt passed to the model.
--no-transcription-context		Disable context (previous sentence) propagation in transcription (enabled by default).
Translation Options
--gpt-model	gpt-5.4-nano	OpenAI's GPT model name, gpt-5.4 / gpt-5.4-mini / gpt-5.4-nano / gpt-5.5 / gpt-5.6-luna
--gemini-model	gemini-3.5-flash-lite	Google's Gemini model name, gemini-3-flash-preview / gemini-3.1-flash-lite / gemini-3.5-flash / gemini-3.5-flash-lite / gemini-3.6-flash
--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". Adding context (who the streamer is, what the stream is about) improves translation quality.
--translation-history-size	0	The number of previous transcripts sent as context when calling the LLM API. It is recommended to disable context (set to 0) for weaker models.
--translation-timeout	10	If the GPT / Gemini translation exceeds this number of seconds, the translation will be discarded.
--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.
--temperature		GPT/Gemini parameter. Controls output randomness, higher values produce more diverse results.
--top-p		GPT/Gemini parameter. Nucleus sampling threshold, only tokens with cumulative probability above this value are considered.
--top-k		Gemini parameter. Limits token selection to the top K most probable candidates.
--prompt-cache-key		GPT parameter. If set, enables prompt caching optimization on the API side.
--reasoning-effort		GPT parameter. Controls reasoning depth for reasoning models. Options: none / minimal / low / medium / high / xhigh.
--verbosity		GPT parameter. Controls the verbosity of the response. Options: auto / short / concise / detailed.
--service-tier		GPT parameter. Specifies processing priority tier. Options: auto / default / flex / priority.
--debug-mode		Enable debug mode. Print messages sent to LLM and usage info after each translation call.
--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.
Output Options
--output-timestamps		Output the timestamp of the text when outputting the text.
--no-show-transcribe-result		Hide the transcription result (shown by default).
--output-file-path		If set, will save the result text to this path.
--cqhttp-url		If set, will send the result text to this 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 this 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.
--output-proxy		Use the specified HTTP/HTTPS/SOCKS proxy for Cqhttp/Discord/Telegram, e.g. http://127.0.0.1:7890.

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