reader-lm-1.5b
AI model that converts HTML content to Markdown
Product Details
Jreader-lm-1.5b is a text generation model developed by Jina AI, specifically used to convert HTML format content into Markdown format. This technology is very important for developers and content creators who need to convert content, because it can automatically complete format conversion and improve work efficiency. The model is available on the Hugging Face platform, supports multiple languages, and is available for free trial on Google Colab.
Main Features
How to Use
Target Users
This product is suitable for developers, content creators who need to convert content formats, and any user who needs automated text processing. It can help users save time on manual format conversion, improve work efficiency, and can be integrated into existing workflows.
Examples
Convert news website articles from HTML format to Markdown format for further editing and publishing in the Markdown editor.
Convert technical documents from HTML format to Markdown for document management in GitHub repositories.
Convert the HTML content of your personal blog to Markdown for use on different platforms and editors.
Quick Access
Visit Website →Categories
Related Recommendations
Discover more similar quality AI tools
Audeus
Audeus for Chrome is a text-to-speech Chrome browser extension that uses artificial intelligence technology to convert text content such as web pages and documents into speech, helping users save time and improve efficiency when reading. This plug-in is especially suitable for users who need to read a lot, such as students, professionals, etc. It supports multiple languages and has highly customizable playback speed and voice selection. Background information on Audeus for Chrome shows that it is designed as a productivity tool and aims to help users process information more efficiently through voice output, especially in multitasking or scenarios that require long periods of concentration. The product offers a free trial and has a clear pricing strategy, targeting user groups who need efficient reading and information processing.
F5-TTS
F5-TTS is a text-to-speech synthesis (TTS) model developed by the SWivid team. It uses deep learning technology to convert text into natural and smooth speech output that is faithful to the original text. When generating speech, this model not only pursues high naturalness, but also focuses on the clarity and accuracy of speech. It is suitable for various application scenarios that require high-quality speech synthesis, such as voice assistants, audiobook production, automatic news broadcasts, etc. The F5-TTS model is released on the Hugging Face platform, which users can easily download and deploy. It supports multiple languages and sound types and has high flexibility and scalability.
Praises
Praises is a text-to-speech (TTS) tool that helps users access information more easily by converting text into speech output. This tool supports multiple APIs, including Azure API, Edge API, etc., and supports multiple languages, allowing it to serve users around the world. The main advantages of Praises include support for multiple speech synthesis technologies, ease of integration and use, and open source features, allowing developers to freely modify and optimize. Background information on Praises shows that it was developed by individual developer ElmTran and follows the MIT open source license, which means that users can use and modify the software for free.
QuickPiperAudiobook
QuickPiperAudiobook is a desktop client software that can convert PDF, epub, txt, mobi, djvu, HTML, docx and other text formats into audiobooks. It uses the piper model to support multiple languages, and all conversion processes are completely offline to protect user privacy. This software is particularly suitable for users who need to quickly convert text content into audio format, such as visually impaired people, users who like to listen to books, or users who need to learn foreign languages.
Open NotebookLM
Open NotebookLM is a tool that leverages open source language models and text-to-speech models to process PDF content, generate natural dialogue suitable for audio podcasts, and output it as MP3 files. The project is inspired by the NotebookLM tool and implemented using open source large language models (LLMs) and text-to-speech models. Not only does it increase the accessibility of information, it also provides content creators with a new form of media, allowing them to convert written content into audio format, broadening their audience reach.
ebook2audiobookXTTS
ebook2audiobookXTTS is a model that uses Caliber and Coqui TTS technology to convert e-books into audiobooks. It supports the preservation of chapters and metadata, and has the option of using a custom voice model for voice cloning, supporting multiple languages. The main advantage of this technology is that it can convert text content into high-quality audiobooks, which is suitable for users who need to convert a large amount of text information into audio format, such as the visually impaired, users who like to listen to books, or users who need to learn foreign languages.
pdf-to-podcast
pdf-to-podcast is a productivity tool based on artificial intelligence technology that can convert PDF documents into podcasts. It uses OpenAI's text-to-speech model and Google Gemini technology to process PDF content into natural dialogue suitable for audio podcasts and output it as an MP3 file. The main advantage of this tool is that it can convert static document content into dynamic audio content, which is convenient for users to listen to on mobile devices, and can also be used as a content source for podcast programs.
PDF2Audio
PDF2Audio is a tool that uses OpenAI's GPT model to convert PDF documents into audio content. It combines text generation and text-to-speech technology to provide users with a platform to edit drafts, provide feedback and suggest improvements. This technology is of great significance in improving the efficiency of information acquisition, assisting learning and education and other fields.
reader-lm-0.5b
Jina Reader-LM is a series of models for converting HTML content to Markdown content, suitable for content conversion tasks. The model is trained on selected HTML and its corresponding Markdown content, and can efficiently handle the format conversion of web content, providing convenience for content creators and developers.
Reader-LM
Reader-LM is a small language model developed by Jina AI, designed to convert raw, messy HTML content on the web into clean Markdown format. These models are specifically optimized for long text processing, support multiple languages, and are capable of handling context lengths up to 256K tokens. The Reader-LM model reduces the dependence on regular expressions and heuristic rules and improves the accuracy and efficiency of conversion through direct conversion from HTML to Markdown.
OptiSpeech
OptiSpeech is an efficient, lightweight and fast text-to-speech model designed for on-device text-to-speech conversion. It leverages advanced deep learning technology to convert text into natural-sounding speech, making it suitable for applications that require speech synthesis in mobile devices or embedded systems. The development of OptiSpeech was supported by GPU resources provided by Pneuma Solutions, which significantly accelerated the development process.
MixTeX-Latex-OCR
MixTeX is an innovative multi-modal LaTeX recognition applet, independently developed by the team, capable of performing efficient CPU-based inference in a local offline environment. Whether it is LaTeX formulas, tables or mixed text, MixTeX can easily identify it and support Chinese and English processing. Thanks to powerful technical support and optimized design, MixTeX can run efficiently without GPU resources and is suitable for any Windows computer, greatly simplifying the user experience.
LLM-Aided OCR
llm_aided_ocr is an advanced system designed to significantly improve the quality of Optical Character Recognition (OCR) output. By leveraging cutting-edge natural language processing technology and large language models (LLMs), the project transforms raw OCR text into highly accurate, well-formatted, and readable documents.
RecurrentGPT
RecurrentGPT is a model for interactively generating text of arbitrary length. It simulates the recursive mechanism by replacing vectorized elements in a long short-term memory network (LSTM) with natural language (i.e. text paragraphs) and using hint engineering. At each time step, RecurrentGPT receives a text paragraph and a brief plan for the next paragraph, which were generated at the previous time step. It also maintains a short-term memory that summarizes key information from recent time steps and updates it at each time step. RecurrentGPT works by combining all inputs into a prompt, asking the underlying language model to generate a new paragraph, a short plan for the next paragraph, and updating long and short-term memory.
ChatTTS-Forge
ChatTTS-Forge is a project developed around the TTS generation model ChatTTS. It implements an API server and a Gradio-based WebUI. It can provide comprehensive API services, support the generation of long texts of more than 1,000 words, maintain consistency, and manage style through built-in 32 different styles.
ElevenLabs Audio Native
ElevenLabs Audio Native is an automated embedded voice player that automatically generates human-like narration for any article, blog, or newsletter. It's customizable, easy to set up, and helps increase reader engagement while making content more accessible to readers and listeners around the world.