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General LLM tools include frameworks, APIs, evaluation utilities, and infrastructure specifically built around large language models. This category covers 369 tools that help developers build, test, fine-tune, and run applications on top of LLMs, from embedding calculators to full model-serving platforms.

Ai To Cards

general

Generate Anki flashcards from study materials

Free 37 · 46,258 votes

AdoriAI

general

AI video generation

Free 35 · 12,501 votes

Typedesk

general

Canned responses and text shortcuts for support teams

Free 34 · 9,859 votes

Clerk Chat

general

SMS, WhatsApp, and voice agents for Microsoft Teams

Free 34 · 13,581 votes

PlagiarismSearch.com

general

Professional plagiarism detection for text

Free 33 · 57,438 votes

Voisi

general

Text-to-speech, voice-to-text, and translation

Free 31 · 7,885 votes

Landing

general

AI landing page builder for marketers

Free 31 · 34,405 votes

Talers

general

Collaborative writing app with AI help

Free 31 · 32,970 votes

[OFFICIAL] TextGo AI Humanizer

general

Make AI text bypass detection tools

Free 31 · 31,746 votes

Upcoming Events in Tickets Today, This Weekend & Month

general

Browse and book tickets for upcoming events

Free 30 · 25,199 votes

ScantextAI

general

Extract text from images and scanned documents

Free 29 · 14,878 votes

1MB

general

Website hosting and blogging service

Free 28 · 8,611 votes

This is a technically focused category aimed primarily at developers and ML engineers. Tools like Cognee and UpTrain address retrieval-augmented generation (RAG) pipelines and model evaluation, while platforms like Dstack and PeriFlow handle compute infrastructure for training and inference. Embedding Similarity Calculator and similar utilities fill narrow but useful gaps in LLM development workflows. OpenAssistant and Cerebras-GPT represent open-source or open-weight models that developers can run or fine-tune directly. When comparing options, consider whether a tool is model-agnostic or tied to a specific provider, and whether it supports the models you are already using. Latency, throughput, and cost-per-token are the metrics that matter most for production workloads. Evaluation tools are often underinvested in early projects but become critical once you are shipping to users. Many tools here are open source with paid managed versions, while others are closed SaaS products with usage-based pricing.