Best AI tools for< Convert Blog >

Adori Blog to Video Maker is an AI-powered tool that helps bloggers convert their written content into engaging and visually appealing videos. With its advanced AI algorithms, Adori analyzes blog content, selects relevant images, suggests transitions, and generates professional voiceovers, transforming blogs into videos that capture attention and drive engagement. The tool offers a range of features, including realistic AI voiceovers, eye-catching visuals, SEO optimization, and social media integration, making it easy for bloggers to create high-quality videos that resonate with their audience.

BlogToPod is an AI-powered tool that helps users convert their popular blog posts into engaging podcasts effortlessly. By simply copying and pasting the blog content, selecting a preferred voice, and downloading the podcast, users can reach a new audience without the need for a dedicated podcast studio. The platform aims to streamline the process of content creation by offering a seamless solution for bloggers looking to expand their reach through audio content.

Article2audio is a text-to-speech application that focuses on web content. It uses AI to understand and enhance English articles and blog posts before converting them to audio, making listening easier and more natural. Some of its key features include descriptive imagery, table summaries, complex text interpretation, and meaningful voice-overs.

BlogTweet is an AI tool created by @jake_prins that allows users to easily convert any blog post into a Twitter thread. By leveraging AI technology, users can streamline the process of sharing blog content on Twitter, enhancing engagement and reach. The tool offers features such as converting blog posts into threads, specifying the tone of the thread, including emojis and hashtags, and more. With BlogTweet, users can transform their blog posts into engaging Twitter threads effortlessly.

BlogMyVideo is a web-based application that converts videos and audio files into written blog posts using artificial intelligence (AI) technology. It allows users to easily transform their video content into engaging and search engine optimized blog posts, making it more accessible to a wider audience and improving discoverability. The application features seamless YouTube integration, allowing users to sync their YouTube videos for automatic conversion. Additionally, it supports uploading audio files and podcasts for conversion, providing a versatile solution for content creators. BlogMyVideo offers editing capabilities, enabling users to customize the generated text to match their style and preferences. The platform also includes SEO optimization features such as optimized meta tags, canonical links, and structured Schema markup to enhance search engine visibility and performance.

Infography is an AI-powered tool that helps you turn your blogs into stunning, shareable infographics. With Infography, you can easily create visually appealing infographics that will help you engage your audience and get your message across. Infography offers a variety of features that make it easy to create professional-looking infographics, even if you don't have any design experience. With Infography, you can: * Choose from a variety of templates and themes * Add your own text, images, and videos * Customize the look and feel of your infographic * Share your infographic on social media or embed it on your website

Voicepen is an AI-powered tool that converts audio recordings into high-quality blog posts. It uses advanced speech recognition and natural language processing technologies to accurately transcribe and format your audio content into well-written, SEO-optimized blog posts. With Voicepen, you can easily create engaging and informative blog content without spending hours writing and editing.

VideoSnack is an AI tool that allows users to convert videos and podcasts into blog posts, newsletters, summaries, show notes, reviews, and tutorials using Google Docs. By utilizing AI technology, VideoSnack helps users repurpose existing video content into SEO-friendly written content, thereby expanding the reach of their content and improving SEO traffic. The tool works seamlessly in the background to identify key information, remove filler words, and optimize text, resulting in a well-crafted article ready for publication. VideoSnack is designed to simplify the process of converting videos into various types of written content, making it ideal for agencies, publishers, bloggers, technical writers, and content managers.

Video to Blog is a tool that allows you to create blogs from YouTube videos. It is powered by Open AI, which means that it uses artificial intelligence to help you create high-quality content. With Video to Blog, you can easily turn your favorite YouTube videos into engaging and informative blog posts.

Texta is an AI-powered blog writing tool that helps users create high-quality, SEO-optimized content. It offers a range of features, including automated blog generation and posting, smart linking, keyword research, and seamless integration with popular website builders. Texta is designed to help users streamline their content creation process, boost their SEO rankings, and enhance reader engagement.

Orimon AI is a conversational marketing tool that helps businesses engage with their customers through AI-powered chatbots. The platform offers tips and tricks to convert visitors into paying customers, train AI agents, and customize chatbot personalities. With a focus on conversational marketing, Orimon AI aims to enhance customer experience and boost sales for service, e-commerce, and SaaS businesses.

imagetomp3.com is a website that allows users to convert images to MP3 audio files. Users can easily upload an image, and the platform will convert it into an MP3 file, which can be downloaded or shared. The website provides a simple and convenient way to create audio files from images, making it useful for various purposes such as creating audio versions of visual content, generating audio memes, or converting text to speech. imagetomp3.com offers a user-friendly interface and quick conversion process, making it a handy tool for those looking to convert images to audio effortlessly.

Beebzi.AI is an all-in-one AI content creation platform that offers a wide array of tools for generating various types of content such as articles, blogs, emails, images, voiceovers, and more. The platform utilizes advanced AI technology and behavioral science to empower businesses and individuals in their marketing and sales endeavors. With features like AI Article Wizard, AI Room Designer, AI Landing Page Generator, and AI Code Generation, Beebzi.AI revolutionizes content creation by providing customizable templates, multiple language support, and real-time data insights. The platform also offers various subscription plans tailored for individual entrepreneurs, teams, and businesses, with flexible pricing models based on word count allocations. Beebzi.AI aims to streamline content creation processes, enhance productivity, and drive organic traffic through SEO-optimized content.

Blogify is an AI-powered tool that allows users to easily convert videos, podcasts, or files into SEO-optimized blogs. It helps in repurposing content from various sources like YouTube, podcasts, e-commerce products, and more. With features such as autopilot blogging, blog analytics, summary & tags generation, and blog export options, Blogify streamlines the content creation process for bloggers and digital marketers. Users can choose from different pricing plans based on their blogging needs and access additional features like writing snippets and YouTube Connect integration.

Humanize AI Text is a free online AI humanizer tool that converts AI-generated content from ChatGPT, Google Bard, Jasper, QuillBot, Grammarly, or any other AI to human text without altering the content's meaning. The platform uses advanced algorithms to analyze and produce output that mimics human writing style. It offers various modes for conversion and supports multiple languages. The tool aims to help content creators, bloggers, and writers enhance their content quality and improve search engine ranking by converting AI-generated text into human-readable form.

ArtSmart AI is an AI image generator that allows users to create unique and realistic images from simple text prompts. It offers a wide range of features, including the ability to upscale images, remove backgrounds, and generate images in different styles. ArtSmart AI is perfect for bloggers, SEO agencies, small businesses, and anyone who needs to create a lot of images quickly and cheaply.

ToWords.io is an AI tool that allows users to convert YouTube videos or audio content into engaging SEO-friendly articles. It offers a platform to quickly generate content from various sources such as YouTube videos, audio books, Zoom/Google meetings, interviews, podcasts, and more. The application is designed to help users create articles efficiently and effectively by leveraging artificial intelligence technology. ToWords.io aims to simplify the content creation process and provide high-quality articles for a wide range of users, including content creators, marketers, and businesses.

Video2Recipe is an AI tool that allows users to convert their favorite cooking videos into recipes effortlessly. By simply pasting the video URL or ID, the AI generates step-by-step instructions and ingredient lists. The platform aims to simplify the process of following cooking tutorials and make it more accessible for users to recreate dishes they love.

HeadlinesAI is an AI-powered tool designed to help users generate engaging and high-converting headlines for various platforms such as Youtube, Medium, Reddit, and IndieHackers. With a simple three-step process, users can quickly create attention-grabbing headlines for their content. The tool boasts a user-friendly interface and has gained popularity among content creators looking to enhance their marketing strategies.

YT Copycat is an AI-powered tool designed for ghostwriters to generate unique, plagiarism-free content in seconds by transforming YouTube videos into various formats. With GPT-4 technology, it offers multilingual support, lightning-fast content generation, and advanced customization options to create high-quality articles, blog posts, Twitter threads, newsletters, and more. Users can save time on manual transcription and produce SEO-optimized content that ranks well on search engines, catering to a global audience with perfect native translations.

The text-extract-api is a powerful tool that allows users to convert images, PDFs, or Office documents to Markdown text or JSON structured documents with high accuracy. It is built using FastAPI and utilizes Celery for asynchronous task processing, with Redis for caching OCR results. The tool provides features such as PDF/Office to Markdown and JSON conversion, improving OCR results with LLama, removing Personally Identifiable Information from documents, distributed queue processing, caching using Redis, switchable storage strategies, and a CLI tool for task management. Users can run the tool locally or on cloud services, with support for GPU processing. The tool also offers an online demo for testing purposes.

Banks is a linguist professor tool that helps generate meaningful LLM prompts using a template language. It provides a user-friendly way to create prompts for various tasks such as blog writing, summarizing documents, lemmatizing text, and generating text using a LLM. The tool supports async operations and comes with predefined filters for data processing. Banks leverages Jinja's macro system to create prompts and interact with OpenAI API for text generation. It also offers a cache mechanism to avoid regenerating text for the same template and context.

UglyFeed is a simple Python application designed to retrieve, aggregate, filter, rewrite, evaluate, and serve content (RSS feeds) written by a large language model. It provides features such as retrieving RSS feeds, aggregating feed items by similarity, rewriting content using various APIs, saving rewritten feeds to JSON files, converting JSON to valid RSS feed, serving XML feed via an HTTP server, deploying XML feed to GitHub or GitLab, and evaluating generated content. The tool can be used for smart content curation, dynamic blog generation, interactive educational tools, personalized reading experiences, brand monitoring, multilingual content delivery, enhanced RSS feeds, creative writing assistance, content repurposing, and fake news detection datasets. It is modular, extensible, and aims to empower users in content manipulation and delivery.

LLM_QLoRA is a repository for fine-tuning Large Language Models (LLMs) using QLoRA methodology. It provides scripts for training LLMs on custom datasets, pushing models to HuggingFace Hub, and performing inference. Additionally, it includes models trained on HuggingFace Hub, a blog post detailing the QLoRA fine-tuning process, and instructions for converting and quantizing models. The repository also addresses troubleshooting issues related to Python versions and dependencies.

The IBM Analog Hardware Acceleration Kit is an open-source Python toolkit for exploring and using the capabilities of in-memory computing devices in the context of artificial intelligence. It consists of two main components: Pytorch integration and Analog devices simulator. The Pytorch integration provides a series of primitives and features that allow using the toolkit within PyTorch, including analog neural network modules, analog training using torch training workflow, and analog inference using torch inference workflow. The Analog devices simulator is a high-performant (CUDA-capable) C++ simulator that allows for simulating a wide range of analog devices and crossbar configurations by using abstract functional models of material characteristics with adjustable parameters. Along with the two main components, the toolkit includes other functionalities such as a library of device presets, a module for executing high-level use cases, a utility to automatically convert a downloaded model to its equivalent Analog model, and integration with the AIHW Composer platform. The toolkit is currently in beta and under active development, and users are advised to be mindful of potential issues and keep an eye for improvements, new features, and bug fixes in upcoming versions.

The 'llm-strategy' repository implements the Strategy Pattern using Large Language Models (LLMs) like OpenAI’s GPT-3. It provides a decorator 'llm_strategy' that connects to an LLM to implement abstract methods in interface classes. The package uses doc strings, type annotations, and method/function names as prompts for the LLM and can convert the responses back to Python data. It aims to automate the parsing of structured data by using LLMs, potentially reducing the need for manual Python code in the future.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

The 'create-million-parameter-llm-from-scratch' repository provides a detailed guide on creating a Large Language Model (LLM) with 2.3 million parameters from scratch. The blog replicates the LLaMA approach, incorporating concepts like RMSNorm for pre-normalization, SwiGLU activation function, and Rotary Embeddings. The model is trained on a basic dataset to demonstrate the ease of creating a million-parameter LLM without the need for a high-end GPU.

A curated repository of code recipes, demos, and resources for basic and advanced Redis use cases in the AI ecosystem. It includes demos for ArxivChatGuru, Redis VSS, Vertex AI & Redis, Agentic RAG, ArXiv Search, and Product Search. Recipes cover topics like Getting started with RAG, Semantic Cache, Advanced RAG, and Recommendation systems. The repository also provides integrations/tools like RedisVL, AWS Bedrock, LangChain Python, LangChain JS, LlamaIndex, Semantic Kernel, RelevanceAI, and DocArray. Additional content includes blog posts, talks, reviews, and documentation related to Vector Similarity Search, AI-Powered Document Search, Vector Databases, Real-Time Product Recommendations, and more. Benchmarks compare Redis against other Vector Databases and ANN benchmarks. Documentation includes QuickStart guides, official literature for Vector Similarity Search, Redis-py client library docs, Redis Stack documentation, and Redis client list.

LLM Foundry is a codebase for training, finetuning, evaluating, and deploying LLMs for inference with Composer and the MosaicML platform. It is designed to be easy-to-use, efficient _and_ flexible, enabling rapid experimentation with the latest techniques. You'll find in this repo: * `llmfoundry/` - source code for models, datasets, callbacks, utilities, etc. * `scripts/` - scripts to run LLM workloads * `data_prep/` - convert text data from original sources to StreamingDataset format * `train/` - train or finetune HuggingFace and MPT models from 125M - 70B parameters * `train/benchmarking` - profile training throughput and MFU * `inference/` - convert models to HuggingFace or ONNX format, and generate responses * `inference/benchmarking` - profile inference latency and throughput * `eval/` - evaluate LLMs on academic (or custom) in-context-learning tasks * `mcli/` - launch any of these workloads using MCLI and the MosaicML platform * `TUTORIAL.md` - a deeper dive into the repo, example workflows, and FAQs

This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. * These are built using LanceDB, a free, open-source, serverless vectorDB that **requires no setup**. * It **integrates into python data ecosystem** so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. * LanceDB has **native Typescript SDK** using which you can **run vector search** in serverless functions! This repository is divided into 3 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools - Tutorials - A curated list of tutorials, blogs, Colabs and courses to get you started with GenAI in greater depth.

Qwen-TensorRT-LLM is a project developed for the NVIDIA TensorRT Hackathon 2023, focusing on accelerating inference for the Qwen-7B-Chat model using TRT-LLM. The project offers various functionalities such as FP16/BF16 support, INT8 and INT4 quantization options, Tensor Parallel for multi-GPU parallelism, web demo setup with gradio, Triton API deployment for maximum throughput/concurrency, fastapi integration for openai requests, CLI interaction, and langchain support. It supports models like qwen2, qwen, and qwen-vl for both base and chat models. The project also provides tutorials on Bilibili and blogs for adapting Qwen models in NVIDIA TensorRT-LLM, along with hardware requirements and quick start guides for different model types and quantization methods.

LiteRT is Google's open-source high-performance runtime for on-device AI, previously known as TensorFlow Lite. The repository is currently not intended for open-source development, but aims to evolve to allow direct building and contributions. LiteRT supports Python versions 3.9, 3.10, 3.11 on Linux and MacOS. It ensures compatibility with existing .tflite file extension and format, offering conversion tools and continued active development under the name LiteRT.

Export LLM like llama to ONNX files without modifying transformers modeling_xx_model.py. Supported models include llama (Hugging Face format), Baichuan, Alibaba Qwen 1.5/2, ChatGlm2/ChatGlm3, and Gemma. Usage examples provided for exporting different models to ONNX files. Various arguments can be used to configure the export process. Note on uninstalling/disabling FlashAttention and xformers before model conversion. Recommendations for handling kv_cache format and simplifying large ONNX models. Disclaimer regarding correctness of exported models and consequences of usage.

Firecrawl is an API service that takes a URL, crawls it, and converts it into clean markdown. It crawls all accessible subpages and provides clean markdown for each, without requiring a sitemap. The API is easy to use and can be self-hosted. It also integrates with Langchain and Llama Index. The Python SDK makes it easy to crawl and scrape websites in Python code.

The fsdp_qlora repository provides a script for training Large Language Models (LLMs) with Quantized LoRA and Fully Sharded Data Parallelism (FSDP). It integrates FSDP+QLoRA into the Axolotl platform and offers installation instructions for dependencies like llama-recipes, fastcore, and PyTorch. Users can finetune Llama-2 70B on Dual 24GB GPUs using the provided command. The script supports various training options including full params fine-tuning, LoRA fine-tuning, custom LoRA fine-tuning, quantized LoRA fine-tuning, and more. It also discusses low memory loading, mixed precision training, and comparisons to existing trainers. The repository addresses limitations and provides examples for training with different configurations, including BnB QLoRA and HQQ QLoRA. Additionally, it offers SLURM training support and instructions for adding support for a new model.

Lance is a modern columnar data format optimized for ML workflows and datasets. It offers high-performance random access, vector search, zero-copy automatic versioning, and ecosystem integrations with Apache Arrow, Pandas, Polars, and DuckDB. Lance is designed to address the challenges of the ML development cycle, providing a unified data format for collection, exploration, analytics, feature engineering, training, evaluation, deployment, and monitoring. It aims to reduce data silos and streamline the ML development process.

The 'local-talking-llm' repository provides a tutorial on building a voice assistant similar to Jarvis or Friday from Iron Man movies, capable of offline operation on a computer. The tutorial covers setting up a Python environment, installing necessary libraries like rich, openai-whisper, suno-bark, langchain, sounddevice, pyaudio, and speechrecognition. It utilizes Ollama for Large Language Model (LLM) serving and includes components for speech recognition, conversational chain, and speech synthesis. The implementation involves creating a TextToSpeechService class for Bark, defining functions for audio recording, transcription, LLM response generation, and audio playback. The main application loop guides users through interactive voice-based conversations with the assistant.

Langfuse Docs is a repository for langfuse.com, built on Nextra. It provides guidelines for contributing to the documentation using GitHub Codespaces and local development setup. The repository includes Python cookbooks in Jupyter notebooks format, which are converted to markdown for rendering on the site. It also covers media management for images, videos, and gifs. The stack includes Nextra, Next.js, shadcn/ui, and Tailwind CSS. Additionally, there is a bundle analysis feature to analyze the production build bundle size using @next/bundle-analyzer.

Je convertis les sous-titres YouTube en articles de blog, avec un ton sympa et accessible.

I convert and turn formal text to informal style instantly. Simply put your formal text below and click Enter! Perfect for sentences, paragraphs, and daily messages.

Make Black Female headshot from description or convert photos into headshots. Your online headshot generator.

Traduire différents types de contenu lié l'univers du vin haut de gamme vers l'allemand (articles blog, descriptifs produits, emailings ...)

一款将旅游攻略视频一键转换成文字图片攻略的实用助手！

Friendly Vegan Richa's recipe assistant, now with precise VeganRicha.com search links.

Assisting with Basic Cooking Techniques

Create JSON recipes for the MV1

I turn longform texts into engaging Twitter threads.

Expert copy editor that converts your manuscript into a publishable product. It provides the edited copy along with a list of changes made and the reason why the change was made.

Always transforms inputs into Lego art.

Convert application descriptions to consumable DB schemas or create-table SQL statements

Convert knowledge into flashcard format

Find the right size clothes. I convert your measurements into sizes of different standards. Say “hello” in your language to start.

Convert emotions and feelings to evocative abstract art. Share you daily mood with text or emoji and I help you to create masterpiece .

Convert the uploaded images to pencil drawing

Convert between text and morse code

Convert salaries across countries, adjusted for Purchasing Power Parity (PPP)

I can convert your favorite quotes into a word cloud with a specified shape.

I convert transcripts into detailed meeting notes with insights, summaries, and action items, plus a downloadable MS Word file.