Best TOON Alternatives in 2025
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Optimize AI costs & gain control. Tokenomy provides precise tools to analyze, manage, & understand LLM token usage across major models. Calculate spend.
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JsonGPT API guarantees perfectly structured, validated JSON from any LLM. Eliminate parsing errors, save costs, & build reliable AI apps.
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Ship structured Markdown that trims token usage by up to 70%, keeps semantic structure intact, and drops straight into your RAG or agent workflows. No installs, no friction—just upload and get AI-optimized output instantly.
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ccusage (claude-code-usage) is a powerful CLI tool that analyzes your Claude Code usage from local JSONL files to help you understand your token consumption patterns and estimated costs.
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Extract, govern, enrich, and deploy your unstructured data for generative AI development with Tonic Textual, the world’s first Secure Data Lakehouse for LLMs
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OpenTools: Unified API for LLM tools. Integrate search, maps, & scraping easily. LLM agnostic, transparent pricing. Get your API key!
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Flowstack: Monitor LLM usage, analyze costs, & optimize performance. Supports OpenAI, Anthropic, & more.
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ONNX Runtime: Run ML models faster, anywhere. Accelerate inference & training across platforms. PyTorch, TensorFlow & more supported!
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Refuel is a platform to clean, structure and transform your data at scale and superhuman quality by leveraging state-of-the-art large language models (LLMs).Refuel Overview
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Tensorlake Cloud is a platform for document ingestion and data orchestration. Parse real-world documents with human-like layout understanding and build Python-based workflows at scale and ready for production.
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Supertonic: Blazing-fast, on-device text-to-speech for developers. Delivers private, real-time audio synthesis with zero latency & no cloud APIs.
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Unstract: Open-source, no-code LLM platform for high-accuracy unstructured data extraction. Get reliable, auditable data from complex documents.
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Build cheaper, faster, smarter custom AI models. FinetuneDB helps you fine-tune LLMs with your data for better performance & lower costs.
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Monkt convert PDFs, Word files, Excel sheets, PowerPoint presentations and web pages into structured Markdown or JSON while preserving semantic structure. Apply custom schemas, process in batches, and use predefined templates through REST API or web interface.
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TokenDagger: The high-performance, drop-in TikToken replacement. Unlock 2x throughput & 4x speed for large-scale NLP & code tokenization. Boost your workflows.
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nanochat: Master the LLM stack. Build & deploy full-stack LLMs on a single node with ~1000 lines of hackable code, affordably. For developers.
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Boost Language Model performance with promptfoo. Iterate faster, measure quality improvements, detect regressions, and more. Perfect for researchers and developers.
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LoRAX (LoRA eXchange) is a framework that allows users to serve thousands of fine-tuned models on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency.
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Convert PDFs, DOCX & more to Markdown, JSON, HTML fast! Marker extracts data accurately. Free for personal use.
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Online tool to count tokens from OpenAI models and prompts. Make sure your prompt fits within the token limits of the model you are using.
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LazyLLM: Low-code for multi-agent LLM apps. Build, iterate & deploy complex AI solutions fast, from prototype to production. Focus on algorithms, not engineering.
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AXAR AI is a lightweight framework for building production-ready agentic applications using TypeScript. It’s designed to help you create robust, production-grade LLM-powered apps using familiar coding practices—no unnecessary abstractions, no steep learning curve.
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Tiktokenizer simplifies AI dev with real-time token tracking, in-app visualizer, seamless API integration & more. Optimize costs & performance.
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txtai is an all-in-one AI framework for semantic search, LLM orchestration and language model workflows.
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GPTCache uses intelligent semantic caching to slash LLM API costs by 10x & accelerate response times by 100x. Build faster, cheaper AI applications.
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KTransformers, an open - source project by Tsinghua's KVCache.AI team and QuJing Tech, optimizes large - language model inference. It reduces hardware thresholds, runs 671B - parameter models on 24GB - VRAM single - GPUs, boosts inference speed (up to 286 tokens/s pre - processing, 14 tokens/s generation), and is suitable for personal, enterprise, and academic use.
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OpenCoder is an open-source code LLM with high performance. Supports English & Chinese. Offers full reproducible pipeline. Ideal for devs, educators & researchers.
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Model2Vec is a technique to turn any sentence transformer into a really small static model, reducing model size by 15x and making the models up to 500x faster, with a small drop in performance.
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OneFileLLM: CLI tool to unify data for LLMs. Supports GitHub, ArXiv, web scraping & more. XML output & token counts. Stop data wrangling!
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Token Counter is an AI tool designed to count the number of tokens in a given text. Tokens are the individual units of meaning, such as words or punctuation marks, that are processed by language models.