🚀 Roadmap
We focus on refining existing features to perfection while steadily expanding new capabilities on a stable foundation.
Less is more: Perfect the current features to be "usable, stable, and smooth" before cautiously introducing new ones.
🎯 Short-Term Focus (Ongoing)
- Refine interaction details: consistent shortcuts, hover tips, empty state guidance.
- Stability & performance: startup speed, memory usage, edge case handling.
- Usability improvements: friendlier error messages and recovery suggestions, complete documentation and guidance.
We don’t plan to add a large number of features at once; our priority is making the experience smooth and seamless.
🧭 Planned New Features (Under Evaluation)
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Post-Parsing Text Editing
Allow in-place editing of parsed content while preserving the original structure and formatting as much as possible, with common document editing capabilities. -
AI Interpretation & Q&A
Designed for "quick understanding" and "efficient retrieval" scenarios: e.g., contextual Q&A, summary generation, key information extraction, and answering questions based on context (with controllable explainability and source referencing as a priority).
⏱ Timeline Expectations
These are expected directions, not firm commitments; priorities will adjust dynamically based on user feedback.
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Short term (1–2 minor releases):
- Deep refinement of existing features and bug fixes.
- Add operational tips and guidance, improve observability (logs and error messages).
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Medium term (2–4 minor releases):
- Release "Post-Parsing Text Editing" experimentally to collect real-world feedback.
- Adjust interactions and data models based on feedback.
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Long term (after more feedback):
- Continuously iterate AI interpretation and Q&A capabilities, exploring more natural interactions and robust source referencing.
🤝 How You Can Participate
See: 《Follow Us》
- Submit feedback and usage scenarios to help us prioritize effectively.
- Highlight inconvenient interactions or improvement suggestions; we will address these first.
- Contribute to documentation: add examples, best practices, or FAQs.
Thank you for your attention and support! Every piece of feedback directly influences the direction of our next improvements.