LOVO
generalText-to-speech with 500+ voices in 100 languages
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.
Text-to-speech with 500+ voices in 100 languages
Rewrite AI-generated text to sound human
Rent GPUs for AI, machine learning, and rendering
Turn text prompts into AI-generated videos
Voice-to-text for Mac, Windows, iOS
Voice generation and cloning from text
App translation with full context and human review
Convert AI text to natural, human-like writing
Create animated videos from images, text, or ideas
Voice-to-text transcription for notes and messages
Generate Excel formulas and analyze spreadsheets without coding
Open-source rich text editor framework with extensions
Get instant feedback on your writing to sound more natural
Make AI-generated text sound natural and human-like
Publish 50+ SEO-optimized articles monthly with full automation
Translate subtitles in SRT, VTT, MP3, MP4, and WAV files
Make AI-generated text sound human and undetectable
Make AI text read more naturally
Automate freight forwarding and logistics workflows
Match similar names and addresses in databases
Automate podcast editing and social clips
AI essay writing tool for students and professionals
Turn text ideas into videos with captions and music
Edit videos with automatic subtitles and scene detection
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.