agentpng
Transform AI coding transcripts (Claude Code, Kiro, Cursor) into shareable images for docs & presentations. Easy visual sharing.
What is agentpng?
What is agentpng?
agentpng is a specialized utility designed to bridge the gap between complex, text-heavy AI agent interactions and visually appealing, easily shareable content. In the modern development workflow, AI coding assistants generate detailed session logs, reasoning steps, and final code snippets. agentpng takes these raw transcripts—from platforms like Claude Code, Kiro, Cursor, and Codex—and renders them into high-fidelity, styled screenshots.
This tool is essential for developers, technical writers, and educators who need to document, present, or share specific moments from their AI collaboration sessions. Instead of sharing raw text files or messy terminal outputs, agentpng provides a clean, professional visual artifact that captures the context, the reasoning, and the resulting code, making knowledge transfer seamless and engaging.
AI Transcript to Image Converter
- Broad Transcript Compatibility: Supports parsing session logs from major AI coding environments including Claude Code (.jsonl), Kiro (.md), Cursor (.md), Codex (.jsonl), Gemini CLI, and standard generic formats.
- Styled Image Export: Generates aesthetically pleasing, ready-to-share screenshots of the agent dialogue, complete with syntax highlighting and clear demarcation between user prompts, agent reasoning, and tool calls.
- Direct Integration: Offers an
agent-transcriptskill for direct export from compatible agent environments (npx skills add siegerts/agent-transcript), streamlining the workflow. - Flexible Input Methods: Users can easily paste transcripts directly, drop session files (.jsonl, .txt, .md, .log), or leverage the direct skill integration.
- Format Auto-Detection: Attempts to intelligently parse the input format, though specific formats like Claude Code or Kiro can be selected manually for optimal rendering.
How to Use agentpng
Getting started with agentpng is designed to be fast and intuitive, focusing on minimal friction between session completion and image creation.
- Obtain Transcript: Complete your session with your chosen AI agent (e.g., Claude Code, Kiro). Export the session log or copy the relevant text segment.
- Input Data: Navigate to the agentpng interface. You have three primary options:
- Paste: Paste the raw text transcript directly into the input area.
- Drop File: Drag and drop your session file (e.g.,
session.jsonlor.md) onto the designated area. - Direct Export (Advanced): If using a compatible agent, install the
agent-transcriptskill (npx skills add siegerts/agent-transcript) and export directly to agentpng.
- Parse and Preview: Select the correct input format (or let auto-detect handle it). The tool will process the text and display a styled preview of the resulting image content.
- Export Image: Once satisfied with the preview, use the export function to download the final, high-quality image file, ready for use in documentation, blog posts, or presentations.
Use Cases
- Technical Documentation & Wikis: Developers can quickly capture complex debugging sessions or successful implementation steps involving AI assistance, embedding these visual proofs directly into internal documentation (e.g., Confluence, Notion) for future reference.
- Blogging and Tutorials: Content creators writing tutorials on using specific AI agents (like prompt engineering guides) can use agentpng to show exactly how the agent reasoned through a problem, lending credibility and clarity to their guides.
- Code Review and Collaboration: When seeking peer review on a solution generated by an AI agent, sharing the entire context—the initial prompt, the agent's internal planning, and the final code—as a single, clean image accelerates understanding.
- Showcasing Agent Capabilities: Product managers or researchers demonstrating the power of new AI models or agent frameworks can use these polished images in presentations or marketing materials to highlight successful interactions.
- Personal Knowledge Management (PKM): Users leveraging tools like Obsidian or Logseq can easily integrate these visual summaries of their AI problem-solving sessions into their personal knowledge graphs.
FAQ
Q: Which AI agents and formats does agentpng support? A: agentpng supports a wide range of formats, including Claude Code (.jsonl), Kiro (.md), Cursor (.md), Codex (.jsonl), Gemini CLI, and generic user/assistant formats. The tool attempts auto-detection but allows manual selection for best results.
Q: Is there a cost associated with using agentpng? A: The website suggests a free utility model, often supported by optional direct export skills. For the core web application functionality (pasting/dropping transcripts), it is generally free to use, though users should check the site for any premium features or usage limits.
Q: Can I customize the appearance of the exported image? A: While the primary focus is on providing a clean, styled output mimicking common terminal/IDE themes, customization options (like theme selection or font size) are often available or implied through the tool's design, depending on the current version.
Q: How do I use the direct export skill?
A: You can integrate agentpng directly into your workflow by running npx skills add siegerts/agent-transcript in your compatible agent environment, allowing sessions to be exported directly to the service without manual copying or file handling.
Q: What if my transcript format isn't listed? A: If your format is not explicitly listed, try the "Generic (User:/Assistant:)" parser. If that fails, copying and pasting the raw text often works, as the tool is designed to parse conversational turns effectively.
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