tldt — Too Long, Didn't Tokenize
Protect your data and agents while saving tokens
About tldt — Too Long, Didn't Tokenize
Too Long; Didn't Tokenize (tl;dt) is a CLI and library that uses machine learning to summarize long texts with context. It targets API calls, document uploads and crawled sites with excess tokens, prompt injection, side instructions. - LexRank and TextRank - OWASP LLM Top 10 support - Unicode confusables protection - Converts from HTML to markdown - Text sanitization - PII and API Keys cleaning - No API keys required - A Go Library for agents that call AI APIs directly - A skill for coding
What you should know about tldt — Too Long, Didn't Tokenize
tldt — Too Long, Didn't Tokenize — Protect your data and agents while saving tokens. It is categorized under AI Tools . On Product Hunt, this tool has received 1 upvotes from the maker community.
Pricing & licensing: Pricing details are not publicly disclosed at the moment .
Use cases & topics: tldt — Too Long, Didn't Tokenize is associated with the following topics: Artificial Intelligence, GitHub, Search, Data Science. Teams working in Artificial Intelligence / GitHub / Search spaces typically evaluate this kind of tool when scoping new architecture decisions or replacing legacy components.
Getting started: Visit the official site to sign up, explore pricing tiers, and start onboarding your team. Most teams hit value within the first week if the tool aligns with their existing AI Tools stack.
Editor's note from Fanny Engriana (Founder, Wardigi Digital Agency): when evaluating tools in the AI Tools category for our agency clients, we look at three things first — license clarity, community size, and active maintenance. Tools with explicit license terms and ongoing commits tend to remain viable across multi-year projects.