
auto-subs
Generate Subtitles & Diarize Speakers in Davinci Resolve using AI.
Stars: 799

Auto-subs is a tool designed to automatically transcribe editing timelines using OpenAI Whisper and Stable-TS for extreme accuracy. It generates subtitles in a custom style, is completely free, and runs locally within Davinci Resolve. It works on Mac, Linux, and Windows, supporting both Free and Studio versions of Resolve. Users can jump to positions on the timeline using the Subtitle Navigator and translate from any language to English. The tool provides a user-friendly interface for creating and customizing subtitles for video content.
README:
Experience faster transcription, a sleek new interface, and powerful new features:
- ⥠Blazing Fast Speeds: Transcribe audio over 2x faster (optimised for Mac and Windows).
- đŖī¸ Speaker Diarization: Auto-detect speakers and color-code subtitles effortlessly.
- đ English Translation: Speak in your native language and get subtitles in English (if enabled).
- đ¨ Modern UI: A stylish, streamlined interface for seamless workflows.
- đĻ One-Click Installer: Apple-approved for quick, hassle-free setup.
Download: Windows ⨠MacOS (ARM)
AutoSubs V2 has already surpassed 12,000 downloads in less than 2 months.
Helpful Tutorial: https://www.youtube.com/watch?v=U36KbpoAPxM
- Download the installer above and open it.
- Follow the instructions on screen.
- Open Davinci Resolve and click "Workspace" in the top menu bar, and then "Scripts" and select AutoSubs V2.
[!Note] For Windows Users: Smart screen or Windows Defender may pop up when you open the installer. This is because my code signing certificate hasn't gained enough reputation yet. This screen will eventually go away as more people download it.
Generate Subtitles & Label Speakers | Advanced Settings |
---|---|
Automatic transcription for your editing timeline using OpenAI Whisper (running locally).
- đ¨ Generate subtitles in your own custom style
- đ Translate from any language to English.
- đšī¸ Jump to positions on the timeline using the Subtitle Navigator.
- đ Completely free and runs locally within Davinci Resolve.
- đģ Works on Mac, Linux, and Windows.
- đĨ Supported on both Free and Studio versions of Resolve.
[!Caution] AutoSubs V1 Broken on Resolve 19.1 Free - Blackmagic has decided to remove the built in UI manager from the free version of Resolve. It is now required to have Resolve 19.0.3 or below, unless on Studio, so you may need to downgrade. (Resolve Studio is unaffected)
[!TIP] Video Tutorials: English Tutorial or Spanish Tutorial
6. â FAQ
Transcription Settings + Subtitle Navigator | Subtitle Example |
---|---|
Afrikaans, Arabic, Armenian, Azerbaijani, Belarusian, Bosnian, Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Kannada, Kazakh, Korean, Latvian, Lithuanian, Macedonian, Malay, Marathi, Maori, Nepali, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swahili, Swedish, Tagalog, Tamil, Thai, Turkish, Ukrainian, Urdu, Vietnamese, and Welsh.
Click on Workspace
in Resolve's top menu bar, then within Scripts
select auto-subs
from the list.
Workspace -> Scripts -> auto-subs
Add a Text+
to the timeline, customise it to your liking, then drag it into the Media Pool
. This will be used as the template for your subtitles.
Mark the beginning ("In") and end ("Out") of the area to subtitle using the I
and O
keys on your keyboard.
Click "Generate Subtitles"
to transcribe the selected timeline area.
[!NOTE] Temporarily removed until I have time to update it to work correctly
- Install
Python 3.8 - 3.12
- Install
OpenAI Whisper
- Install
FFMPEG
(used by Whisper for audio processing) - Install
Stable-TS
(improves subtitles) - Download + copy
auto-subs.py
to Fusion Scripts folder.
Windows Setup
Download Python 3.12 (or any version between 3.8 and 3.12) and run the installer. Make sure to tick "Add python.exe to PATH"
during installation.
From the Whisper setup guide - Run the following command to install OpenAI Whisper for your OS.
pip install -U openai-whisper
Install FFMPEG (for audio processing). I recommend using a package manager as it makes the install process less confusing.
# on Windows using Chocolatey (https://chocolatey.org/install)
choco install ffmpeg
# on Windows using Scoop (https://scoop.sh/)
scoop install ffmpeg
Install Stable-TS by running this command in the terminal:
pip install -U stable-ts
Download auto-subs.py
and place it in one of the following directories:
If you don't see the Scripts or Utility folder, create it manually and place the file there
- All users:
%PROGRAMDATA%\Blackmagic Design\DaVinci Resolve\Fusion\Scripts\Utility
- Specific user:
%APPDATA%\Blackmagic Design\DaVinci Resolve\Support\Fusion\Scripts\Utility
MacOS Setup
-
Install Homebrew package manager:
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
-
Install Python:
brew install python
â ī¸ Possible Error:<urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: self-signed certificate in certificate chain (_ssl.c:1006)>
âī¸ Solution: Run this command in the terminal/Applications/Python\ 3.11/Install\ Certificates.command
(replace the Python directory with wherever Python is installed on your computer). -
Install FFMPEG (used by Whisper for audio processing):
brew install ffmpeg
-
Install OpenAI Whisper:
pip install -U openai-whisper # if previous command does not work pip3 install -U openai-whisper
-
Install Stable-TS:
pip install -U stable-ts # if previous command does not work pip3 install -U stable-ts
-
Download
auto-subs.py
and place it in one of the following directories:- All users:
/Library/Application Support/Blackmagic Design/DaVinci Resolve/Fusion/Scripts/Utility
- Specific user:
/Users/<UserName>/Library/Application Support/Blackmagic Design/DaVinci Resolve/Fusion/Scripts/Utility
- All users:
Linux Setup
-
Python
# on Ubuntu or Debian sudo apt-get install python3.11 # on Arch Linux sudo pacman -S python3.11
-
FFMPEG
# on Ubuntu or Debian sudo apt update && sudo apt install ffmpeg # on Arch Linux sudo pacman -S ffmpeg
-
OpenAI Whisper
pip install -U openai-whisper
-
Stable-TS
pip install -U stable-ts
-
Download
auto-subs.py
and place it in one of the following directories:- All users:
/opt/resolve/Fusion/Scripts/Utility
(or/home/resolve/Fusion/Scripts/Utility
depending on installation) - Specific user:
$HOME/.local/share/DaVinciResolve/Fusion/Scripts/Utility
- All users:
Download the auto-subs.py
file and add it to one of the following directories:
-
Windows:
- All users:
%PROGRAMDATA%\Blackmagic Design\DaVinci Resolve\Fusion\Scripts\Utility
- Specific user:
%APPDATA%\Blackmagic Design\DaVinci Resolve\Support\Fusion\Scripts\Utility
- All users:
-
Mac OS:
- All users:
/Library/Application Support/Blackmagic Design/DaVinci Resolve/Fusion/Scripts/Utility
- Specific user:
/Users/<UserName>/Library/Application Support/Blackmagic Design/DaVinci Resolve/Fusion/Scripts/Utility
- All users:
-
Linux:
- All users:
/opt/resolve/Fusion/Scripts/Utility
(or/home/resolve/Fusion/Scripts/Utility
depending on installation) - Specific user:
$HOME/.local/share/DaVinciResolve/Fusion/Scripts/Utility
- All users:
[!NOTE] Audio transcription has been removed on this version. This means less setup, but a subtitles (SRT) file is required as input. Use this if you already have a way of transcribing video (such as Davinci Resolve Studio's built-in subtitles feature, or CapCut subtitles) and you just want subtitles with a custom theme.
Install any version of Python (tick "Add python.exe to PATH"
during installation)
Download auto-subs-light.py
and place it in the Utility
folder of the Fusion Scripts folder.
...\Blackmagic Design\DaVinci Resolve\Fusion\Scripts\Utility
- Check out the Youtube Video Tutorial đē
- Thanks to everyone who has supported this project â¤ī¸
- If you have any issues, get in touch on my Discord server for support đ˛
Verify that Resolve detects your Python installation by opening the Console from the top menu/toolbar in Resolve and clicking py3
at the top of the console.
Ensure that Path
in your system environment variables contains the following:
C:\Users\<your-user-name>\AppData\Local\Programs\Python\Python312
C:\Users\<your-user-name>\AppData\Local\Programs\Python\Python312\Scripts\
Use Everything to quickly search your computer for it (Windows only).
<urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: self-signed certificate in certificate chain (_ssl.c:1006)>
Solution: Run this command in the terminal (replace the Python directory with wherever Python is installed on your computer).
/Applications/Python\ 3.11/Install\ Certificates.command
import sys
+ print (sys.version)
in the Resolve console.
This video may help you (Only the first 6 minutes are necessary).
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for auto-subs
Similar Open Source Tools

auto-subs
Auto-subs is a tool designed to automatically transcribe editing timelines using OpenAI Whisper and Stable-TS for extreme accuracy. It generates subtitles in a custom style, is completely free, and runs locally within Davinci Resolve. It works on Mac, Linux, and Windows, supporting both Free and Studio versions of Resolve. Users can jump to positions on the timeline using the Subtitle Navigator and translate from any language to English. The tool provides a user-friendly interface for creating and customizing subtitles for video content.

AutoRAG
AutoRAG is an AutoML tool designed to automatically find the optimal RAG pipeline for your data. It simplifies the process of evaluating various RAG modules to identify the best pipeline for your specific use-case. The tool supports easy evaluation of different module combinations, making it efficient to find the most suitable RAG pipeline for your needs. AutoRAG also offers a cloud beta version to assist users in running and optimizing the tool, along with building RAG evaluation datasets for a starting price of $9.99 per optimization.

duolingo-clone
Lingo is an interactive platform for language learning that provides a modern UI/UX experience. It offers features like courses, quests, and a shop for users to engage with. The tech stack includes React JS, Next JS, Typescript, Tailwind CSS, Vercel, and Postgresql. Users can contribute to the project by submitting changes via pull requests. The platform utilizes resources from CodeWithAntonio, Kenney Assets, Freesound, Elevenlabs AI, and Flagpack. Key dependencies include @clerk/nextjs, @neondatabase/serverless, @radix-ui/react-avatar, and more. Users can follow the project creator on GitHub and Twitter, as well as subscribe to their YouTube channel for updates. To learn more about Next.js, users can refer to the Next.js documentation and interactive tutorial.

NextChat
NextChat is a well-designed cross-platform ChatGPT web UI tool that supports Claude, GPT4, and Gemini Pro. It offers a compact client for Linux, Windows, and MacOS, with features like self-deployed LLMs compatibility, privacy-first data storage, markdown support, responsive design, and fast loading speed. Users can create, share, and debug chat tools with prompt templates, access various prompts, compress chat history, and use multiple languages. The tool also supports enterprise-level privatization and customization deployment, with features like brand customization, resource integration, permission control, knowledge integration, security auditing, private deployment, and continuous updates.

obsei
Obsei is an open-source, low-code, AI powered automation tool that consists of an Observer to collect unstructured data from various sources, an Analyzer to analyze the collected data with various AI tasks, and an Informer to send analyzed data to various destinations. The tool is suitable for scheduled jobs or serverless applications as all Observers can store their state in databases. Obsei is still in alpha stage, so caution is advised when using it in production. The tool can be used for social listening, alerting/notification, automatic customer issue creation, extraction of deeper insights from feedbacks, market research, dataset creation for various AI tasks, and more based on creativity.

WilliamButcherBot
WilliamButcherBot is a Telegram Group Manager Bot and Userbot written in Python using Pyrogram. It provides features for managing Telegram groups and users, with ready-to-use methods available. The bot requires Python 3.9, Telegram API Key, Telegram Bot Token, and MongoDB URI. Users can install it locally or on a VPS, run it directly, generate Pyrogram session for Heroku, or use Docker for deployment. Additionally, users can write new modules to extend the bot's functionality by adding them to the wbb/modules/ directory.

cb-tumblebug
CB-Tumblebug (CB-TB) is a system for managing multi-cloud infrastructure consisting of resources from multiple cloud service providers. It provides an overview, features, and architecture. The tool supports various cloud providers and resource types, with ongoing development and localization efforts. Users can deploy a multi-cloud infra with GPUs, enjoy multiple LLMs in parallel, and utilize LLM-related scripts. The tool requires Linux, Docker, Docker Compose, and Golang for building the source. Users can run CB-TB with Docker Compose or from the Makefile, set up prerequisites, contribute to the project, and view a list of contributors. The tool is licensed under an open-source license.

quickvid
QuickVid is an open-source video summarization tool that uses AI to generate summaries of YouTube videos. It is built with Whisper, GPT, LangChain, and Supabase. QuickVid can be used to save time and get the essence of any YouTube video with intelligent summarization.

airflow-code-editor
The Airflow Code Editor Plugin is a tool designed for Apache Airflow users to edit Directed Acyclic Graphs (DAGs) directly within their browser. It offers a user-friendly file management interface for effortless editing, uploading, and downloading of files. With Git support enabled, users can store DAGs in a Git repository, explore Git history, review local modifications, and commit changes. The plugin enhances workflow efficiency by providing seamless DAG management capabilities.

fastserve-ai
FastServe-AI is a machine learning serving tool focused on GenAI & LLMs with simplicity as the top priority. It allows users to easily serve custom models by implementing the 'handle' method for 'FastServe'. The tool provides a FastAPI server for custom models and can be deployed using Lightning AI Studio. Users can install FastServe-AI via pip and run it to serve their own GPT-like LLM models in minutes.

Notate
Notate is a powerful desktop research assistant that combines AI-driven analysis with advanced vector search technology. It streamlines research workflow by processing, organizing, and retrieving information from documents, audio, and text. Notate offers flexible AI capabilities with support for various LLM providers and local models, ensuring data privacy. Built for researchers, academics, and knowledge workers, it features real-time collaboration, accessible UI, and cross-platform compatibility.

llama-assistant
Llama Assistant is an AI-powered assistant that helps with daily tasks, such as voice recognition, natural language processing, summarizing text, rephrasing sentences, answering questions, and more. It runs offline on your local machine, ensuring privacy by not sending data to external servers. The project is a work in progress with regular feature additions.

ComfyUI-fal-API
ComfyUI-fal-API is a repository containing custom nodes for using Flux models with fal API in ComfyUI. It provides nodes for image generation, video generation, language models, and vision language models. Users can easily install and configure the repository to access various nodes for different tasks such as generating images, creating videos, processing text, and understanding images. The repository also includes troubleshooting steps and is licensed under the Apache License 2.0.

fiftyone
FiftyOne is an open-source tool designed for building high-quality datasets and computer vision models. It supercharges machine learning workflows by enabling users to visualize datasets, interpret models faster, and improve efficiency. With FiftyOne, users can explore scenarios, identify failure modes, visualize complex labels, evaluate models, find annotation mistakes, and much more. The tool aims to streamline the process of improving machine learning models by providing a comprehensive set of features for data analysis and model interpretation.

rtp-llm
**rtp-llm** is a Large Language Model (LLM) inference acceleration engine developed by Alibaba's Foundation Model Inference Team. It is widely used within Alibaba Group, supporting LLM service across multiple business units including Taobao, Tmall, Idlefish, Cainiao, Amap, Ele.me, AE, and Lazada. The rtp-llm project is a sub-project of the havenask.

MAVIS
MAVIS (Math Visual Intelligent System) is an AI-driven application that allows users to analyze visual data such as images and generate interactive answers based on them. It can perform complex mathematical calculations, solve programming tasks, and create professional graphics. MAVIS supports Python for coding and frameworks like Matplotlib, Plotly, Seaborn, Altair, NumPy, Math, SymPy, and Pandas. It is designed to make projects more efficient and professional.
For similar tasks

gpt-subtrans
GPT-Subtrans is an open-source subtitle translator that utilizes large language models (LLMs) as translation services. It supports translation between any language pairs that the language model supports. Note that GPT-Subtrans requires an active internet connection, as subtitles are sent to the provider's servers for translation, and their privacy policy applies.

auto-subs
Auto-subs is a tool designed to automatically transcribe editing timelines using OpenAI Whisper and Stable-TS for extreme accuracy. It generates subtitles in a custom style, is completely free, and runs locally within Davinci Resolve. It works on Mac, Linux, and Windows, supporting both Free and Studio versions of Resolve. Users can jump to positions on the timeline using the Subtitle Navigator and translate from any language to English. The tool provides a user-friendly interface for creating and customizing subtitles for video content.

VideoLingo
VideoLingo is an all-in-one video translation and localization dubbing tool designed to generate Netflix-level high-quality subtitles. It aims to eliminate stiff machine translation, multiple lines of subtitles, and can even add high-quality dubbing, allowing knowledge from around the world to be shared across language barriers. Through an intuitive Streamlit web interface, the entire process from video link to embedded high-quality bilingual subtitles and even dubbing can be completed with just two clicks, easily creating Netflix-quality localized videos. Key features and functions include using yt-dlp to download videos from Youtube links, using WhisperX for word-level timeline subtitle recognition, using NLP and GPT for subtitle segmentation based on sentence meaning, summarizing intelligent term knowledge base with GPT for context-aware translation, three-step direct translation, reflection, and free translation to eliminate strange machine translation, checking single-line subtitle length and translation quality according to Netflix standards, using GPT-SoVITS for high-quality aligned dubbing, and integrating package for one-click startup and one-click output in streamlit.

voice-pro
Voice-Pro is an integrated solution for subtitles, translation, and TTS. It offers features like multilingual subtitles, live translation, vocal remover, and supports OpenAI Whisper and Open-Source Translator. The tool provides a Studio tab for various functions, Whisper Caption tab for subtitle creation, Translate tab for translation, TTS tab for text-to-speech, Live Translation tab for real-time voice recognition, and Batch tab for processing multiple files. Users can download YouTube videos, improve voice recognition accuracy, create automatic subtitles, and produce multilingual videos with ease. The tool is easy to install with one-click and offers a Web-UI for user convenience.

ai-no-jimaku-gumi
AI no jimaku gumi is a command-line utility designed to assist in video translation. It supports translating subtitles using AI models and provides options for different translation and subtitle sources. Users can easily set up the tool by following the installation steps and use it to translate videos to different languages with customizable settings. The tool currently supports DeepL and llm translation backends and SRT subtitle export. It aims to simplify the process of adding subtitles to videos by leveraging AI technology.

MoneyPrinterPlus
MoneyPrinterPlus is a project designed to help users easily make money in the era of short videos. It leverages AI big model technology to batch generate various short videos, perform video editing, and automatically publish videos to popular platforms like Douyin, Kuaishou, Xiaohongshu, and Video Number. The tool covers a wide range of functionalities including integrating with major AI big model tools, supporting various voice types, offering video transition effects, enabling customization of subtitles, and more. It aims to simplify the process of creating and sharing videos to monetize traffic.

FFAIVideo
FFAIVideo is a lightweight node.js project that utilizes popular AI LLM to intelligently generate short videos. It supports multiple AI LLM models such as OpenAI, Moonshot, Azure, g4f, Google Gemini, etc. Users can input text to automatically synthesize exciting video content with subtitles, background music, and customizable settings. The project integrates Microsoft Edge's online text-to-speech service for voice options and uses Pexels website for video resources. Installation of FFmpeg is essential for smooth operation. Inspired by MoneyPrinterTurbo, MoneyPrinter, and MsEdgeTTS, FFAIVideo is designed for front-end developers with minimal dependencies and simple usage.

chatgpt-subtitle-translator
This tool utilizes the OpenAI ChatGPT API to translate text, with a focus on line-based translation, particularly for SRT subtitles. It optimizes token usage by removing SRT overhead and grouping text into batches, allowing for arbitrary length translations without excessive token consumption while maintaining a one-to-one match between line input and output.
For similar jobs

LLMStack
LLMStack is a no-code platform for building generative AI agents, workflows, and chatbots. It allows users to connect their own data, internal tools, and GPT-powered models without any coding experience. LLMStack can be deployed to the cloud or on-premise and can be accessed via HTTP API or triggered from Slack or Discord.

daily-poetry-image
Daily Chinese ancient poetry and AI-generated images powered by Bing DALL-E-3. GitHub Action triggers the process automatically. Poetry is provided by Today's Poem API. The website is built with Astro.

exif-photo-blog
EXIF Photo Blog is a full-stack photo blog application built with Next.js, Vercel, and Postgres. It features built-in authentication, photo upload with EXIF extraction, photo organization by tag, infinite scroll, light/dark mode, automatic OG image generation, a CMD-K menu with photo search, experimental support for AI-generated descriptions, and support for Fujifilm simulations. The application is easy to deploy to Vercel with just a few clicks and can be customized with a variety of environment variables.

SillyTavern
SillyTavern is a user interface you can install on your computer (and Android phones) that allows you to interact with text generation AIs and chat/roleplay with characters you or the community create. SillyTavern is a fork of TavernAI 1.2.8 which is under more active development and has added many major features. At this point, they can be thought of as completely independent programs.

Twitter-Insight-LLM
This project enables you to fetch liked tweets from Twitter (using Selenium), save it to JSON and Excel files, and perform initial data analysis and image captions. This is part of the initial steps for a larger personal project involving Large Language Models (LLMs).

AISuperDomain
Aila Desktop Application is a powerful tool that integrates multiple leading AI models into a single desktop application. It allows users to interact with various AI models simultaneously, providing diverse responses and insights to their inquiries. With its user-friendly interface and customizable features, Aila empowers users to engage with AI seamlessly and efficiently. Whether you're a researcher, student, or professional, Aila can enhance your AI interactions and streamline your workflow.

ChatGPT-On-CS
This project is an intelligent dialogue customer service tool based on a large model, which supports access to platforms such as WeChat, Qianniu, Bilibili, Douyin Enterprise, Douyin, Doudian, Weibo chat, Xiaohongshu professional account operation, Xiaohongshu, Zhihu, etc. You can choose GPT3.5/GPT4.0/ Lazy Treasure Box (more platforms will be supported in the future), which can process text, voice and pictures, and access external resources such as operating systems and the Internet through plug-ins, and support enterprise AI applications customized based on their own knowledge base.

obs-localvocal
LocalVocal is a live-streaming AI assistant plugin for OBS that allows you to transcribe audio speech into text and perform various language processing functions on the text using AI / LLMs (Large Language Models). It's privacy-first, with all data staying on your machine, and requires no GPU, cloud costs, network, or downtime.