
tldt — Too Long, Didn't Tokenize
Protect your data and agents while saving tokens
About tldt — Too Long, Didn't Tokenize
tldt — Too Long, Didn't Tokenize — is a powerful CLI and library designed to optimize the way long texts are handled in AI workflows. Leveraging machine learning, it intelligently summarizes lengthy content while preserving context, making it ideal for reducing token usage in API calls, document uploads, and web crawling. Its suite of features includes support for LexRank and TextRank algorithms, HTML-to-Markdown conversion, Unicode confusables protection, text sanitization, and PII/API key cleaning, all without requiring API keys. This makes it especially suitable for developers, data scientists, and AI agents aiming to enhance privacy, security, and efficiency. Its Go library and coding skills support enable seamless integration into custom workflows and applications, offering a tailored approach to managing complex textual data. What sets tldt apart is its focus on protecting sensitive data and optimizing token consumption, ensuring cost-effective and secure AI interactions.
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Pros
- ✓Reduces token consumption with advanced summarization techniques
- ✓Supports multiple safety and security features like PII and API key cleaning
- ✓No API keys required, enhancing privacy and ease of use
- ✓Converts HTML to markdown and sanitizes text for cleaner data
- ✓Provides a Go library for integration into custom AI workflows
Cons
- ✗Limited information on pricing and deployment options
- ✗May require technical expertise to implement effectively
- ✗Currently lacks extensive user documentation or support community
Use Cases
Pricing
Likely follows a freemium model with core features available for free, with potential paid plans for advanced integrations or enterprise use. Exact pricing details are not specified, but the tool’s open-source approach suggests affordability and flexibility.
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