https://github.com/GitHuberV/Charactereoid/releases
A Chrome extension that records canvas animations of AI chat interactions with visualizers and audio.
Charactereoid is a busy, capable tool built for streamers, researchers, and curious users who want to capture the dynamic visuals that appear during AI chat sessions. The extension focuses on recording real-time canvas animations produced by AI chat visualizers and the accompanying audio track. It leverages browser APIs to grab the canvas stream, combine it with audio, and export a synchronized video file. The result is a clean, shareable record of how an AI chat scene plays out, including the artful visualization that many AI chat UIs display.
Charactereoid isn’t just a recorder. It’s a small fusion of drawing, sound, and scripting that helps you preserve moments from AI conversations. It is designed to be robust in the face of different chat UIs, canvas-based renderers, and audio sources. It ships with sensible defaults and an extendable structure so you can adapt it to your own AI chat setup.
This project sits at the intersection of AI, visual in-browser media, and web animation. It is particularly useful for developers who want to study how AI models render their responses, creators who want to produce showpieces of AI interaction, and educators who want to illustrate dynamic AI behavior to students. The extension is built to be approachable, with clear setup steps, sensible defaults, and a pathway to customization.
Charactereoid runs as a Chrome extension. It watches the web page for canvas elements that render AI visualizations, captures those canvases, records the frames, and streams the result into a video file with synchronized audio. The end product is a portable media file you can upload to a video site, share with teammates, or embed in a presentation.
The name Charactereoid evokes motion, character, and visualization. It reflects the project’s goal: to give you a reliable way to turn fleeting AI canvas animations into a lasting artifact. The extension keeps the process simple, but it’s built on solid web technologies so you can trust the result.
- Record real-time canvas animations produced by AI chat visualizers embedded in web pages.
- Capture audio alongside canvas frames to produce a synchronized video.
- Produce shareable media of AI chat sessions, including the visual flair that accompanies many Chat UI experiments.
- Work with a range of AI chat implementations, including those that render canvas-based visuals and dynamic overlays.
- Export the captured session as a video file for easy distribution or archiving.
- Use a straightforward setup to get started quickly with minimal friction.
Charactereoid does not require you to modify the AI chat page. It relies on chrome extension capabilities to hook into the page’s rendering when you grant permission. The extension remains lightweight and safe by design, focusing on the media capture pipeline and avoiding unnecessary page modifications.
- Canvas-aware recording: The extension detects and captures the main visual canvas that represents the AI’s visualization.
- Audio capture: It includes the system or browser audio track so you get a faithful soundtrack to the visuals.
- Simple export workflow: One-click export produces a video file with synchronized visuals and audio.
- Cross-page compatibility: Designed to work with various AI chat UI implementations that use canvas for visuals.
- Local processing: All recording happens in the browser without cloud dependencies, preserving privacy and control.
- Configurable frame rate: Choose an appropriate frame rate to balance quality and file size.
- Export formats: Video formats suitable for common platforms, with room for future format support.
- Extensible architecture: The codebase invites contributors to add new visualizers or audio processing modules.
In practice, you get a compact capture tool that sits quietly in your browser, ready to record when you encounter an AI chat moment you want to capture. The resulting video can be shared, demonstrated, or studied later.
Charactereoid combines several browser capabilities to deliver a smooth recording experience:
- Canvas capture: It locates the target canvas in the active tab and captures its frames as a media stream.
- Audio track: It taps into the audio stream from the tab or system source to align with the canvas frames.
- MediaRecorder: It uses the MediaRecorder API to encode the combined video and audio streams into a file.
- Synchronization: The extension ensures the canvas frames and audio stay in lockstep to create coherent playback.
- Export: It assembles the final media file and prompts the user to save it locally.
Behind the scenes, the extension maintains a small orchestration layer that coordinates between content scripts, the background process, and the extension’s UI. This separation helps keep things stable as AI visualizers come and go on the page.
The recording pipeline is designed to be resilient. Even if a page changes while recording, the extension attempts to re-sync with the active canvas and audio sources. If it detects an unavailable source, it gracefully continues with whatever frames were captured up to that point.
This guide walks you through installation, setup, and day-to-day use. The goal is clarity and reliability so you can start recording high-quality AI chat visuals quickly.
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Prerequisites
- A Chromium-based browser (Chrome, Edge, etc.) that supports MediaRecorder and canvas capture.
- Administrative rights to install extensions or side-load unpacked extensions during testing.
- A page with AI chat visuals rendered on a canvas and an audio source you want to accompany the visuals.
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Installation (one-time)
- Open the browser’s extensions page.
- Enable Developer Mode.
- Load the unpacked extension from the source code directory.
- Pin Charactereoid to the toolbar for quick access.
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How to start a session
- Open a chat page that renders visualizations on the canvas.
- Click the Charactereoid icon to begin a recording session.
- The extension searches for a primary canvas element on the page. If found, it starts capturing frames.
- If an audio source is available, the extension includes it in the capture.
- When you are ready to finish, click Stop to end the session.
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Exporting and sharing
- After stopping, the extension prompts you to save the video file.
- Choose a location and filename, then confirm.
- The saved file includes both the canvas visuals and the audio track, synchronized for smooth playback.
- You can upload the video to your preferred platform or embed it in a report.
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Troubleshooting during a session
- If no canvas is detected, verify that the AI visualization renders on a typical HTML canvas element.
- If the audio is missing, check that the audio source is not blocked by browser policies.
- If the capture seems choppy, lower the frame rate or increase the buffer size in the settings.
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Tips for best results
- Use a stable recording environment with minimal background activity to ensure the browser can keep up with the capture.
- If the AI visualization is dynamic, consider a higher frame rate for smoother playback.
- For longer sessions, periodically save or pause to prevent large files from building up in memory.
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Common workflows
- Recording a single visualization: Open the chat page, start recording, let the visualization run, then stop and save.
- Capturing a sequence of interactions: Begin recording, interact with the AI multiple times, then stop when the entire sequence finishes.
- Creating a demo reel: Record several AI chat moments with different visualizers, then combine the clips in a video editor.
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Accessibility and usability
- The extension aims to be unobtrusive, with clear icons and a simple control scheme.
- Keyboard shortcuts can be configured to start and stop recording, reducing the need to switch tabs mid-session.
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Security and privacy
- Recording happens locally in your browser. The captured media is stored on your device unless you choose to delete it.
- The extension does not upload your media to external services by default.
- It uses standard browser APIs to minimize risk and to stay compatible with a wide range of AI chat implementations.
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Core technologies
- JavaScript, TypeScript (for type safety where used), and modern Web APIs.
- Chrome Extension APIs for background processing, content scripts, and UI.
- MediaRecorder API for encoding video and audio streams.
- Canvas API for capturing canvas frames.
- Web Audio API for audio handling and potential post-processing.
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Key modules
- Content Script: Detects the canvas and audio sources on the active page.
- Background Script: Coordinates the capture pipeline, manages state, and handles export.
- UI Components: Popup or panel that controls recording, shows status, and presents options.
- Utilities: Helpers for canvas-to-video encoding, timing, and error handling.
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Data flow
- The content script identifies canvas sources and starts the media stream.
- The background script uses MediaRecorder to combine the canvas stream with audio.
- When the recording stops, the data is assembled into a media file and saved locally.
- The UI confirms success and provides metadata such as duration, resolution, and bitrate.
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Design goals
- Simplicity: A minimal surface to control the recording without heavy UI overhead.
- Robustness: Graceful handling of dynamic pages where canvases appear and disappear.
- Extensibility: A clean structure that invites adding new visualizers or audio processing features.
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Performance considerations
- The extension uses hardware-accelerated video encoding where available.
- It streams data efficiently to avoid excessive memory use for typical recording sessions.
- Frame rate and resolution options let you tune quality and resource use.
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Security posture
- The extension operates within the browser’s extension sandbox.
- It avoids arbitrary network calls during recording.
- Data remains on the local device unless you explicitly move it elsewhere.
If you want to contribute or run Charactereoid locally, here is a practical path to get started.
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Repository layout (high level)
- src/
- content/
- canvas-detector.js
- canvas-matcher.js
- audio-source.js
- background/
- recorder-manager.js
- storage.js
- ui/
- popup.html
- popup.js
- styles.css
- manifest.json
- content/
- assets/
- icons/
- logos/
- README.md
- LICENSE
- src/
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Running locally
- Install Node.js and npm.
- Run npm install to pull dependencies (if any are defined).
- Open the project in your code editor.
- Load the extension as an unpacked extension in your browser:
- Go to chrome://extensions
- Enable Developer mode
- Click Load unpacked and select the src directory or the project root depending on your structure
- Open a test page with a canvas-based AI visualization.
- Start recording via the extension UI and verify capture.
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Building and testing
- If a build script exists, run npm run build to produce a distributable version.
- Use test pages that render on a canvas to confirm detection works in different contexts.
- Validate audio capture by running on pages with audio sources and verifying synchronization.
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Code quality and standards
- Follow consistent naming conventions.
- Use modules to separate concerns for canvas detection, media capture, and export logic.
- Add comments to explain tricky synchronization details and edge cases.
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Extending with new visualizers
- The architecture allows you to plug in different canvas-based visualizers.
- Each new visualizer can expose:
- A canvas element selector
- Optional frame timing hints
- Any specific post-processing steps for frames before encoding
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Accessibility considerations for developers
- Document accessibility notes for UI controls.
- Ensure keyboard navigation and screen reader compatibility for core controls.
- Provide clear error messages with actionable steps.
- manifest.json: Defines the extension’s permissions, background scripts, content scripts, and UI.
- content/canvas-detector.js: Scans the page for canvas elements and feeds the recording pipeline.
- content/canvas-matcher.js: Tries to match the correct canvas when multiple canvases exist.
- content/audio-source.js: Finds and routes the audio stream to the recorder.
- background/recorder-manager.js: Orchestrates MediaRecorder, frame handling, and export.
- background/storage.js: Persists user preferences and session metadata.
- ui/popup.html and ui/popup.js: The control panel users interact with.
- assets/ and icons/: Brand assets and icons for a polished UI.
This structure keeps concerns separated and makes it easier to add new features without destabilizing existing work.
- The latest releases host downloadable assets and installers. To get the most up-to-date files, visit the Releases page and download the appropriate asset for your platform and browser version.
- Download location: https://github.com/GitHuberV/Charactereoid/releases
If you want to verify or fetch specific assets directly, the Releases page is the authoritative source for building or testing. For convenience, you can also examine release notes to learn about fixes, improvements, and known issues.
Charactereoid aims to evolve through user feedback and ongoing development. Potential directions include:
- Expanded capture options
- Support for multiple canvases and layered visualizers
- Advanced audio routing for selective channels
- Output improvements
- Higher-efficiency codecs and flexible container formats
- Presets for common platforms and workflows
- UI/UX enrichments
- Cleaner status indicators and live progress meters
- Inline metadata capture, such as timestamps and scenario tags
- Developer delight features
- Plugin system for custom visualizers
- CLI tools for batch recording and automation
These ideas are living and subject to change as the project grows. Community input will shape priorities.
- The extension performs media capture locally in the browser. There is no automatic upload of captured media.
- It uses standard browser permissions and APIs. All data stays on the user’s device unless the user chooses to export it.
- You control when capture begins and ends. The UI makes it clear what is being captured.
- If you customize or extend the extension, ensure that any new components that handle media also follow best practices for privacy and security.
- In-page help: The extension’s UI includes quick tips and inline explanations. This helps new users understand what to expect during a session.
- Developer docs: The repository includes a developer guide that explains the architecture, how to add new visualizers, and how to run tests locally.
- API references: Where applicable, documentation covers the key APIs used by the extension, including canvas capture and MediaRecorder integration.
If you need more detail, you can browse the source code comments and the adjacent documentation files. Clear examples are provided to help you extend or customize behavior.
- Canvas detection can be affected by pages that render visuals in nonstandard ways or via offscreen canvases.
- Some browsers or extensions may impose restrictions on capturing tab audio, which can affect audio capture quality.
- Very high-resolution canvases may require more system resources and can affect performance on lower-end devices.
- Some AI chat interfaces rotate canvases or reuse canvases in ways that complicate detection; in those cases, manual selection or configuration may be needed.
Charactereoid aims to handle common cases well. If you encounter a scenario that doesn’t work smoothly, please share details in the project’s issues so the team can improve support.
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Contributions welcome. If you want to help with code, tests, or documentation, please follow the repository’s contribution guidelines.
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For questions, open issues describing what you’re trying to accomplish and any problems you encounter.
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The project favors practical, well-documented changes that improve reliability and user experience.
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Licensing: Charactereoid is released under a permissive license that encourages study, adaptation, and improvement. See the LICENSE file in the repository for details.
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Authors and maintainers: The core team focuses on making the tool reliable and approachable for a broad audience.
- Preview images: Charactereoid showcases the concept of capturing a canvas-driven AI visualization alongside audio. A few representative images help convey what you can expect from a recording session.
- Demo videos: Short clips illustrate how a recording session looks from start to finish. These demos highlight smooth frame capture, audio alignment, and a clean export.
Images serve to give you an intuition of the workflow and end results. They are intended to be illustrative rather than prescriptive, showing what a typical recording session might look like.
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Example canvas visualizations
- An abstract representation of AI-generated patterns that respond to user input or model state changes.
- A line of real-time visualization that morphs as the AI output evolves.
- A particle system that reacts to audio levels, creating an engaging visual feedback loop.
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Audio representation
- A simple waveform or spectrum-style display that accompanies the canvas visuals.
- Subtle ambient audio that enhances the overall sensation of a live session.
- License: Charactereoid follows an open license that emphasizes openness and community contribution.
- Credits: The project credits the contributors, designers, and testers who helped shape the release.
- Assets: Icons and UI elements respect licensing where applicable. All usage complies with licenses and terms.
If you reuse parts of Charactereoid in your own project, please credit the authors and link back to the source repository.
- If you run into issues, check the Issues tab on the repository. A lot of common problems have already been discussed and resolved there.
- You can search for keywords like “canvas”, “recording”, “audio”, or “export” to find relevant discussions quickly.
- For feature requests, open an issue describing your use case, expected behavior, and how you would verify success.
- Read the overview to understand what Charactereoid does.
- Ensure you have a Chromium-based browser and a test page with AI canvas visuals.
- Install the extension as an unpacked extension in your browser.
- Open a page with a canvas-based AI visualization, then start a recording.
- Confirm that the canvas frames and audio are captured in sync.
- Stop recording and save the video file.
- If something doesn’t work, consult the common issues and troubleshooting tips.
- Release assets and download options: https://github.com/GitHuberV/Charactereoid/releases
- See the Releases page for detailed notes and asset availability. The page is the official source of the compiled extension and related assets. If you want to verify the latest changes, this is the right place to start.
For convenience, you can refer to the same link again in contexts where you want to remind users where to obtain the build and assets. The Releases page provides the files you need to download and execute for use on your machine.
Charactereoid blends canvas capture, audio synchronization, and media export into a compact extension that serves a clear purpose: preserving the dynamic visuals that accompany AI chat interactions. The project embraces practical engineering, accessible design, and a pathway for growth through community contributions. If you are curious about how in-browser media capture works or want to study AI visualization in depth, Charactereoid offers a reliable starting point.
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