Best AI tools for< Convert Formats >

UniFab is an AI-powered video and audio enhancing solution that offers a comprehensive set of tools to elevate the quality of videos and audio tracks. With features like HDR upconversion, video upscaling, deinterlacing, audio upmixing, vocal removal, and more, UniFab empowers users to enhance their content with advanced AI algorithms. The tool is designed to improve video clarity, detail, and visual effects, providing a seamless and immersive viewing experience. UniFab is a one-stop solution for video and audio editing, offering over 1,000 format conversions and advanced AI technologies for content enhancement.

UPDF is a next-generation AI-powered PDF editor that offers a wide range of features including editing, annotating, converting, OCR, translation, and AI conversation. It supports multiple platforms such as Windows, macOS, iOS, and Android, providing users with a seamless experience across devices. With advanced AI technology, UPDF delivers precise results for summarizing, translating, explaining, and conversing with PDF documents. It is a trusted productivity tool with a user-friendly interface and continuous product optimization. UPDF is the go-to choice for users looking for a PDF editor that can address any PDF-related issues.

Audacity is a free and open-source audio editing and recording software that runs on Windows, macOS, GNU/Linux, and other operating systems. It is popular for its ease of use, multi-track editing capabilities, and support for a wide range of audio formats. Audacity can be used for a variety of tasks, including recording and editing podcasts, music, and other audio content. It also supports a variety of plugins, which can extend its functionality even further.

Waifu2x is a website that offers Single-Image Super-Resolution for Anime-Style Art using Deep Convolutional Neural Networks. Users can enhance the quality of their images by upscaling and reducing noise. The site supports various languages and provides detailed instructions on image processing. It also offers options for noise reduction and upscaling, with limits on file size and dimensions. Additionally, users can choose different styles for their images and save them in different formats like PNG and WebP.

SVGStud.io is an AI-based tool for searching and generating Scalable Vector Graphics (SVGs). SVG (Scalable Vector Graphics) is an XML-based format for describing two-dimensional vector graphics. SVGStud.io offers functionalities such as free SVG bundles, semantic SVG search, AI-based SVG generator, and the ability to convert SVGs to other formats like DXF and EPS. It is a valuable tool for graphic designers looking to create high-quality, scalable graphics for web design and high-resolution displays.

HitPaw Online is a website that provides a suite of AI-powered editing tools for photos, videos, and audio. The tools are easy to use and can be accessed online without the need to install any software. HitPaw Online's tools are powered by advanced AI algorithms that can automatically enhance the quality of your media files. For example, the Photo Enhancer tool can improve the resolution of images, remove noise, and adjust the colors. The Video Enhancer tool can upscale videos to 4K resolution, remove watermarks, and add subtitles. The Audio Enhancer tool can reduce background noise, extract audio from videos, and convert audio formats.

Mp3Converter AI is an online audio converter tool powered by AI technology. It allows users to convert various audio formats such as WAV, FLAC, and AAC to MP3 effortlessly. The tool provides high-quality audio conversions quickly and efficiently, making it a versatile solution for all audio conversion needs. With a user-friendly interface and batch conversion feature, Mp3Converter AI ensures a seamless experience for converting music files to MP3 format.

Transcriptmate is an AI-powered audio to text transcription tool that offers automatic transcription with high accuracy. Users can easily convert audio files to text in just 2 clicks, with the option to add features like diarization and AI content crafting. The tool supports multiple languages, provides transcriptions in various formats, and ensures safe payments. Transcriptmate is recommended by customers for its efficiency, accuracy, and user-friendly interface.

FreeTTS is a free online text-to-speech tool that allows users to convert text into natural-sounding speech in various languages and voices. It supports a range of features such as text-to-speech conversion, speech-to-text conversion, vocal removal, voice enhancement, audio cutting, and audio joining. FreeTTS is suitable for various applications, including content creation, education, accessibility, and entertainment.

Rocket Statement is a leading bank statement conversion tool that helps users convert their PDF bank statements into Excel, CSV, or JSON formats quickly, securely, and easily. It supports over 100 major banks worldwide and can handle multilingual statements. The tool is trusted by professionals worldwide and offers a range of features, including bulk processing, clean data formatting, multiple export options, and an AI Copilot for smooth and flawless conversions.

HappyScribe is an AI transcription tool that converts audio and video files into text with high accuracy. It offers a seamless and efficient way to transcribe various types of content, saving time and effort for users. The tool is equipped with advanced AI technology to ensure precise transcription results. HappyScribe is trusted by professionals, students, and content creators for its reliability and user-friendly interface.

SharkFoto is an AI-powered online tool that offers a range of powerful and easy-to-use photo editing features. Users can remove image backgrounds, colorize black and white photos, enhance image quality, resize, crop, flip, rotate images, and more. The tool utilizes AI technology to automate and simplify the editing process, making it accessible to both professionals and amateurs. With over 100 million trained and processed images, SharkFoto boasts a 95% satisfaction rate from customers and an average customer rating of 4.5 out of 5.00.

AIConvert is a web-based application that allows users to convert various types of files into different formats. It supports a wide range of file formats, including documents, images, videos, and audio files. AIConvert is easy to use and does not require any software installation. Users simply need to upload the file they want to convert and select the desired output format. AIConvert will then automatically convert the file and provide a download link.

Files2Prompt is a free online tool that allows you to convert files to text prompts for large language models (LLMs) like ChatGPT, Claude, and Gemini. With Files2Prompt, you can easily generate prompts from various file formats, including Markdown, JSON, and XML. The converted prompts can be used to ask questions, generate text, translate languages, write different kinds of creative content, and more.

Vectorizer.AI is an online tool that allows users to convert PNG and JPG images to SVG vectors quickly and easily using artificial intelligence. The application utilizes deep learning networks and classical algorithms to analyze, process, and convert images from pixels to geometric shapes. It offers a full-featured deep vector engine, proprietary computational geometry framework, and advanced shape fitting capabilities to produce high-quality vector images. Vectorizer.AI supports various curve types, clean corners, symmetry modeling, adaptive simplification, palette control, sub-pixel precision, and full color & transparency. The tool is fully automatic, supports multiple image types, and provides export choices in SVG, PDF, EPS, DXF, and PNG formats.

TTS Generator AI is a free online text-to-speech tool that leverages cutting-edge AI technology to convert written text into high-quality, natural-sounding audio. This tool is invaluable for a variety of users, including students who need auditory learning materials, researchers who want to listen to long documents, and professionals seeking to make their written content more accessible. One of the standout features of TTS Tool is its ability to support a range of text formats, from simple text files to complex PDFs, making it incredibly versatile.

Unifire.ai is an AI-powered content repurposing tool that allows users to create content 10 times faster by transforming audio, text, and video content into various formats such as Tweets, LinkedIn posts, newsletters, and blog posts. The tool is trained on the user's tone and style, providing unique and personalized content. Unifire automates the content generation process, from transcription to final content creation, enabling users to scale their existing content without starting from scratch. It offers collaborative editing features, content templates, and a credit-based pricing system for cost-effective usage.

FaviCraft is an AI-powered tool that allows users to easily create and convert favicons for their websites. With FaviCraft, users can describe their vision, choose shapes or letters, and let the tool generate stunning and unique favicons without the need for design skills. The tool also provides the ability to preview favicons in different sizes and formats, ensuring they look perfect on all platforms. FaviCraft simplifies the process of favicon creation and conversion, making it ideal for web developers, designers, and website owners.

ColoringBook.AI is a free AI coloring pages generator that allows users to upload photos or enter text to create personalized coloring pages. With powerful generative AI tools, users can convert any picture or text into coloring pages instantly. The website offers a wide variety of free printable coloring pages in PDF and PNG formats for download, along with AI tools for image-to-image and text-to-image generation.

LedgerBox is an AI tool that specializes in converting bank statements into digital formats. It simplifies the process of managing financial data by automatically extracting and organizing information from bank statements. With LedgerBox, users can easily convert paper-based bank statements into digital files, enabling quick and efficient financial analysis and reporting. The tool is designed to save time and reduce errors associated with manual data entry, making it a valuable asset for individuals and businesses looking to streamline their financial processes.

Speechlib is a Python library that provides functionalities for speaker diarization, speaker recognition, and transcription on audio files. It offers features such as converting audio formats to WAV, converting stereo to mono, and re-encoding to 16-bit PCM. The library allows users to transcribe audio files, store transcripts, specify language and model size, and perform speaker recognition using voice samples. It supports various languages and provides performance metrics for different model sizes. Speechlib utilizes huggingface models for speaker recognition and transcription tasks.

E2M is a Python library that can parse and convert various file types into Markdown format. It supports the conversion of multiple file formats, including doc, docx, epub, html, htm, url, pdf, ppt, pptx, mp3, and m4a. The ultimate goal of the E2M project is to provide high-quality data for Retrieval-Augmented Generation (RAG) and model training or fine-tuning. The core architecture consists of a Parser responsible for parsing various file types into text or image data, and a Converter responsible for converting text or image data into Markdown format.

Anim v0.1.0 is an animation tool that allows users to convert videos to animations using mixamorig characters. It features FK animation editing, object selection, embedded Python support (only on Windows), and the ability to export to glTF and FBX formats. Users can also utilize Mediapipe to create animations. The tool is designed to assist users in creating animations with ease and flexibility.

pyht is a Python SDK for the PlayHT's AI Text-to-Speech API, allowing users to convert text into high-quality audio streams in humanlike voice. It supports real-time text-to-speech streaming, pre-built and custom voices, various audio formats, and different sample rates.

Node.js bindings for OpenAI's Whisper model that automatically converts audio to WAV format with a 16000 Hz frequency to support the whisper model. It outputs transcripts to various formats, is optimized for CPU including Apple Silicon ARM, provides timestamp precision to single word, allows splitting on word rather than token, translation from source language to English, and conversion of audio format to WAV for whisper model support.

Yet Another Applied LLM Benchmark is a collection of diverse tests designed to evaluate the capabilities of language models in performing real-world tasks. The benchmark includes tests such as converting code, decompiling bytecode, explaining minified JavaScript, identifying encoding formats, writing parsers, and generating SQL queries. It features a dataflow domain-specific language for easily adding new tests and has nearly 100 tests based on actual scenarios encountered when working with language models. The benchmark aims to assess whether models can effectively handle tasks that users genuinely care about.

rwkv.cpp is a port of BlinkDL/RWKV-LM to ggerganov/ggml, supporting FP32, FP16, and quantized INT4, INT5, and INT8 inference. It focuses on CPU but also supports cuBLAS. The project provides a C library rwkv.h and a Python wrapper. RWKV is a large language model architecture with models like RWKV v5 and v6. It requires only state from the previous step for calculations, making it CPU-friendly on large context lengths. Users are advised to test all available formats for perplexity and latency on a representative dataset before serious use.

LLM-Minutes-of-Meeting is a project showcasing NLP & LLM's capability to summarize long meetings and automate the task of delegating Minutes of Meeting(MoM) emails. It converts audio/video files to text, generates editable MoM, and aims to develop a real-time python web-application for meeting automation. The tool features keyword highlighting, topic tagging, export in various formats, user-friendly interface, and uses Celery for asynchronous processing. It is designed for corporate meetings, educational institutions, legal and medical fields, accessibility, and event coverage.

The 'ollama-ebook-summary' repository is a Python project that creates bulleted notes summaries of books and long texts, particularly in epub and pdf formats with ToC metadata. It automates the extraction of chapters, splits them into ~2000 token chunks, and allows for asking arbitrary questions to parts of the text for improved granularity of response. The tool aims to provide summaries for each page of a book rather than a one-page summary of the entire document, enhancing content curation and knowledge sharing capabilities.

Iceburg CRM is a metadata driven CRM with AI abilities that allows users to quickly prototype any CRM. It offers features like metadata creations, import/export in multiple formats, field validation, themes, role permissions, calendar, audit logs, API, workflow, field level relationships, module level relationships, and more. Created with Vue 3 for the frontend, Laravel 10 for the backend, Tailwinds with DaisyUI plugin, and Inertia for routing. Users can install default, admin panel, core, custom, or AI versions. The tool supports AI Assist for module data suggestions and provides API endpoints for CRM modules, search, specific module data, record updates, and deletions. Iceburg CRM also includes themes, custom field types, calendar, datalets, workflow, roles and permissions, import/export functionality, and custom seeding options.

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference. It provides a common API to deliver inference solutions on various platforms, including CPU, GPU, NPU, and heterogeneous devices. OpenVINO™ supports pre-trained models from Open Model Zoo and popular frameworks like TensorFlow, PyTorch, and ONNX. Key components of OpenVINO™ include the OpenVINO™ Runtime, plugins for different hardware devices, frontends for reading models from native framework formats, and the OpenVINO Model Converter (OVC) for adjusting models for optimal execution on target devices.

Open Parse is a Python library for visually discerning document layouts and chunking them effectively. It is designed to fill the gap in open-source libraries for handling complex documents. Unlike text splitting, which converts a file to raw text and slices it up, Open Parse visually analyzes documents for superior LLM input. It also supports basic markdown for parsing headings, bold, and italics, and has high-precision table support, extracting tables into clean Markdown formats with accuracy that surpasses traditional tools. Open Parse is extensible, allowing users to easily implement their own post-processing steps. It is also intuitive, with great editor support and completion everywhere, making it easy to use and learn.

LF AI & Data Landscape is a map to explore open source projects in the AI & Data domains, highlighting companies that are members of LF AI & Data. It showcases members of the Foundation and is modelled after the Cloud Native Computing Foundation landscape. The landscape includes current version, interactive version, new entries, logos, proper SVGs, corrections, external data, best practices badge, non-updated items, license, formats, installation, vulnerability reporting, and adjusting the landscape view.

FLUTE (Flexible Lookup Table Engine for LUT-quantized LLMs) is a tool designed for uniform quantization and lookup table quantization of weights in lower-precision intervals. It offers flexibility in mapping intervals to arbitrary values through a lookup table. FLUTE supports various quantization formats such as int4, int3, int2, fp4, fp3, fp2, nf4, nf3, nf2, and even custom tables. The tool also introduces new quantization algorithms like Learned Normal Float (NFL) for improved performance and calibration data learning. FLUTE provides benchmarks, model zoo, and integration with frameworks like vLLM and HuggingFace for easy deployment and usage.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

Yank Note is a highly extensible Markdown editor designed for productivity. It offers features like easy-to-use interface, powerful support for version control and various embedded content, high compatibility with local Markdown files, plug-in extension support, and encryption for saving private files. Users can write their own plug-ins to expand the editor's functionality. However, for more extendability, security protection is sacrificed. The tool supports sync scrolling, outline navigation, version control, encryption, auto-save, editing assistance, image pasting, attachment embedding, code running, to-do list management, quick file opening, integrated terminal, Katex expression, GitHub-style Markdown, multiple data locations, external link conversion, HTML resolving, multiple formats export, TOC generation, table cell editing, title link copying, embedded applets, various graphics embedding, mind map display, custom container support, macro replacement, image hosting service, OpenAI auto completion, and custom plug-ins development.

The receipt-scanner repository is an AI-Powered Receipt and Invoice Scanner for Laravel that allows users to easily extract structured receipt data from images, PDFs, and emails within their Laravel application using OpenAI. It provides a light wrapper around OpenAI Chat and Completion endpoints, supports various input formats, and integrates with Textract for OCR functionality. Users can install the package via composer, publish configuration files, and use it to extract data from plain text, PDFs, images, Word documents, and web content. The scanned receipt data is parsed into a DTO structure with main classes like Receipt, Merchant, and LineItem.

Embodied Agents is a toolkit for integrating large multi-modal models into existing robot stacks with just a few lines of code. It provides consistency, reliability, scalability, and is configurable to any observation and action space. The toolkit is designed to reduce complexities involved in setting up inference endpoints, converting between different model formats, and collecting/storing datasets. It aims to facilitate data collection and sharing among roboticists by providing Python-first abstractions that are modular, extensible, and applicable to a wide range of tasks. The toolkit supports asynchronous and remote thread-safe agent execution for maximal responsiveness and scalability, and is compatible with various APIs like HuggingFace Spaces, Datasets, Gymnasium Spaces, Ollama, and OpenAI. It also offers automatic dataset recording and optional uploads to the HuggingFace hub.

LARS is an application that enables users to run Large Language Models (LLMs) locally on their devices, upload their own documents, and engage in conversations where the LLM grounds its responses with the uploaded content. The application focuses on Retrieval Augmented Generation (RAG) to increase accuracy and reduce AI-generated inaccuracies. LARS provides advanced citations, supports various file formats, allows follow-up questions, provides full chat history, and offers customization options for LLM settings. Users can force enable or disable RAG, change system prompts, and tweak advanced LLM settings. The application also supports GPU-accelerated inferencing, multiple embedding models, and text extraction methods. LARS is open-source and aims to be the ultimate RAG-centric LLM application.

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

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Your ffmpeg command assistant.

In-depth FFmpeg expert with web browsing and DALL-E capabilities.

Visual and friendly guide for image processing.

Your expert in FFMPEG.

Expert in audio format conversion, guiding through simple steps.

Enginyer de Python per a la creació i manipulació d'imatges i arxius.Fàcil,clar i Català.

Converts natural language time into Discord timestamp format.

Expert in LAStools with in-depth command line knowledge.

Transforming handwritten notes into digital formats.

Specialist in reverse engineering icons to your specifications. Upload an image of the icons you want - ThePromptfather

Chat gpt html interpreter

Efficient image sheet creator

Convert knowledge into flashcard format

Convert into usable LaTeX code any pictures of your handwritten notes, documents in any format. Start by uploading what you need to convert.

Friendly Markdown text conversion.

Premium quality file conversion service, versatile and precise.

Efficient, task-focused GPT for formatting scripts and JSON fields

Extracts JSON from source code using regex.

Advanced JSON formatting and validation tool.