Best AI tools for< Script Input >

Firebay Studios is an AI-powered platform that enables users to create high-quality radio ads in seconds. The tool helps companies and organizations of all sizes to automate production processes, streamline ad creation, and ultimately boost revenue. With features like AI & Cloned Voices, Editing & Production, Script Writing, SFX & Music, and support for 29 languages, Firebay Studios offers a comprehensive solution for creating captivating audio-based advertisements effortlessly.

Similarvideo is an AI video generator tool that simplifies the process of creating marketing videos. It allows users to generate AI memes and media to engage their audience across platforms like Youtube, TikTok, and Instagram. The tool leverages meme marketing at the speed of AI, helping users communicate ideas effectively and increase brand awareness. With features like AI-powered scripts, voice generation, intuitive video editor, and a vast library of stock media, Similarvideo offers a complete solution for creating short videos. Users can create and translate videos in multiple languages with just a click, making it a versatile tool for content creators and marketers.

StoryboardHero is an AI-powered online platform that helps video agencies and creators generate storyboards quickly and easily. With StoryboardHero, users can input a script or a brief, and the AI will automatically generate a storyboard, complete with visuals. StoryboardHero also offers a range of features to help users customize their storyboards, including the ability to add their own branding, edit the script and visuals, and collaborate with team members. StoryboardHero is a valuable tool for anyone who wants to create high-quality storyboards quickly and easily.

Adwrite is an AI-powered marketing ad copywriting tool that helps users create SEO-optimized and plagiarism-free content for various platforms, including social media, ads, emails, and websites. It offers a range of features and templates to assist marketers, writers, bloggers, and freelancers in generating high-quality marketing copy quickly and efficiently.

Atlabs is the #1 AI Video Generator, offering an end-to-end AI video marketing platform for businesses. It allows users to create engaging videos in minutes by starting with a website link or text prompt. The platform provides features like AI Script Writer, AI Visuals Generator, AI Brand Model, AI Voiceovers, Trendy Captions, one-click translation, and more. Users can create high-quality videos with motion graphics, B-rolls, captions, and other assets effortlessly. Atlabs is trusted by various brands globally and offers a complete video communications toolkit for busy individuals.

AutoScript is an advanced AI-powered tool designed to automate the process of scriptwriting for videos, movies, and other multimedia content. By utilizing cutting-edge natural language processing algorithms, AutoScript can generate high-quality scripts quickly and efficiently. With its user-friendly interface, content creators can easily input their requirements and receive well-crafted scripts tailored to their needs. Whether you are a filmmaker, YouTuber, or content creator, AutoScript streamlines the scriptwriting process, saving you time and effort.

Creatify is an AI-powered application that enables users to create high-quality marketing videos quickly and effortlessly. By simply inputting a product link or description, Creatify generates engaging video ads, helping businesses increase ROI, test multiple ad variations, and reach their target audience effectively. With features like URL to short video ad, AI Avatar, Text-to-Speech, AI Script Writer, and Custom Avatar, Creatify offers a comprehensive solution for video ad creation. Trusted by over 400,000 brands and advertisers, Creatify revolutionizes the way marketing videos are produced, making it accessible to businesses of all sizes.

UGC Scripts is an AI-powered tool that helps content creators, brands, and agencies create scroll-stopping user-generated content (UGC) scripts in minutes. With UGC Scripts, you can input brand details, select your content style, and provide some context to generate unique and engaging UGC scripts that resonate with your audience. The platform offers a variety of features to help you streamline your creative process, including a free library of scripts, tech support, a partner program, and a dedicated sales team.

8Arc is a Text to Movie AI Generator that allows users to create movies from text in just 3 simple steps. Users can input ideas for short movies or scripts, and the AI will generate a movie based on the input. The platform offers the ability to generate 5 free movies per week and supports the inclusion of images in the generated movies. With 8Arc, users can easily create cinematic ads, movie trailers, documentaries, and more using AI technology.

StoryScape AI is an innovative AI tool that helps users create engaging and interactive stories effortlessly. With its advanced natural language processing capabilities, users can generate compelling narratives by simply inputting prompts. The tool offers a user-friendly interface and a wide range of customization options to tailor the stories to individual preferences. StoryScape AI is suitable for writers, content creators, educators, and anyone looking to enhance their storytelling skills with the power of AI technology.

UniGPT is an AI-powered text generation tool that uses the GPT-3 model to generate human-like text based on the input provided. It can be used for various applications such as content creation, chatbots, and automated writing tasks. UniGPT is designed to assist users in generating high-quality text content efficiently and effectively.

ImageMover is a leading AI video generator tool designed to transform creative ideas into visually stunning videos. With advanced AI technology, it effortlessly converts various inputs like images, scripts, and text into captivating videos. The platform offers user-friendly interface, diverse video templates, and seamless processing to create polished and engaging videos. ImageMover is ideal for social media marketing, product demonstrations, and storytelling campaigns, enabling users to elevate their brand visibility and engage their audience effectively.

LuDe is an AI-powered video creator application that allows users to easily generate lyrical videos similar to YouTube Shorts or Instagram Reels with minimal effort. Users can attach audio files in various formats and transcribe scripts to customize their videos. The application offers different video background options and requires users to 'Luminate' before the final LuDe video is created. LuDe utilizes AI technology to create engaging video content from provided audio or text inputs.

Overvoice is an AI-powered tool that simplifies the process of adding voiceovers to videos. It offers a streamlined approach to creating demo videos, house tours, tutorials, and more. By leveraging advanced AI models, Overvoice generates high-quality voiceover scripts based on the context of the input videos. Users have full control over the tone, perspective, and voice selection, ensuring a perfect match with their video content. With multilingual support and HD voice capabilities, Overvoice helps businesses enhance customer engagement, increase conversion rates, and reach a global audience.

Off/Script is a community-led product creation platform that empowers users to bring their product ideas to life without spending any money. The platform provides users with access to an AI-powered product creation studio, a community of design experts, and a marketplace to sell their products. Off/Script handles all product creation and logistics requirements, so users can focus on what they do best: designing and creating innovative products.

Clarity Write is an open-source SaaS script that provides a comprehensive suite of AI-powered tools to transform content creation. With its powerful AI capabilities, users can effortlessly generate high-quality content, create stunning visuals, automate coding tasks, transcribe audio and video files, and engage with AI experts via chatbots. Clarity Write also offers a vast library of over 500 professionally designed templates, a feature-rich editor for refining content, and robust admin tools for streamlined management. By leveraging the capabilities of OpenAI APIs, Clarity Write empowers users to enhance their content creation process, unlock endless creativity, and simplify their operations.

PromoMix is an AI-powered tool that helps users generate voiceovers for their short videos. It is designed to make it easy for users to create professional-sounding voiceovers, even if they don't have any experience in voiceover work. PromoMix offers a variety of features to help users create the perfect voiceover for their videos, including the ability to choose from a variety of voices, adjust the speed and pitch of the voice, and add music and sound effects. PromoMix is a valuable tool for anyone who wants to create high-quality voiceovers for their videos.

ScriptFast is an AI-powered script writing tool designed for YouTube creators to effortlessly generate engaging and professional-grade scripts. The platform leverages the power of AI to help users save time and create high-quality content with ease. Whether you are a seasoned creator or just starting out, ScriptFast empowers you to produce compelling scripts that captivate your audience. With a user-friendly interface and efficient features, ScriptFast simplifies the process of scriptwriting, making it a valuable tool for content creators.

RivetAI is an AI-powered filmmaking platform that offers a range of tools to optimize pre-production processes for filmmakers. It provides features such as AI scheduling, budgeting, script breakdown, script coverage, script summary, character breakdown, team collaboration, and advanced security. RivetAI aims to streamline the filmmaking workflow by leveraging artificial intelligence to enhance budgeting, scheduling, script analysis, and team collaboration.

CommandAI is a powerful command line utility tool that leverages the capabilities of artificial intelligence to enhance user experience and productivity. It allows users to interact with the command line interface using natural language commands, making it easier for both beginners and experienced users to perform complex tasks efficiently. With CommandAI, users can streamline their workflow, automate repetitive tasks, and access advanced features through simple text-based interactions. The tool is designed to simplify the command line experience and provide intelligent assistance to users in executing commands and managing their system effectively.

Ain is a terminal HTTP API client designed for scripting input and processing output via pipes. It allows flexible organization of APIs using files and folders, supports shell-scripts and executables for common tasks, handles url-encoding, and enables sharing the resulting curl, wget, or httpie command-line. Users can put things that change in environment variables or .env-files, and pipe the API output for further processing. Ain targets users who work with many APIs using a simple file format and uses curl, wget, or httpie to make the actual calls.

This repository contains convenience scripts to finetune LLaMa3-8B (or any other foundation model) for chat towards any language (that isn't English). The rationale behind this is that LLaMa3 is trained on primarily English data and while it works to some extent for other languages, its performance is poor compared to English.

LLaMa2lang is a repository containing convenience scripts to finetune LLaMa3-8B (or any other foundation model) for chat towards any language that isn't English. The repository aims to improve the performance of LLaMa3 for non-English languages by combining fine-tuning with RAG. Users can translate datasets, extract threads, turn threads into prompts, and finetune models using QLoRA and PEFT. Additionally, the repository supports translation models like OPUS, M2M, MADLAD, and base datasets like OASST1 and OASST2. The process involves loading datasets, translating them, combining checkpoints, and running inference using the newly trained model. The repository also provides benchmarking scripts to choose the right translation model for a target language.

Nightshade Antidote is an image forensics tool used to analyze digital images for signs of manipulation or forgery. It implements several common techniques used in image forensics including metadata analysis, copy-move forgery detection, frequency domain analysis, and JPEG compression artifacts analysis. The tool takes an input image, performs analysis using the above techniques, and outputs a report summarizing the findings.

This repository provides code for extracting image and text features using OpenAI CLIP models, supporting both global and local grid visual features. It aims to facilitate multi visual-and-language downstream tasks by allowing users to customize input and output grid resolution easily. The extracted features have shown comparable or superior results in image captioning tasks without hyperparameter tuning. The repo supports various CLIP models and provides detailed information on supported settings and results on MSCOCO image captioning. Users can get started by setting up experiments with the extracted features using X-modaler.

Air Script is a versatile tool designed for Wi-Fi penetration testing, offering automated and user-friendly features to streamline the hacking process. It allows users to easily capture handshakes from nearby networks, automate attacks, and even send email notifications upon completion. The tool is ideal for individuals looking to efficiently pwn Wi-Fi networks without extensive manual input. With additional tools and options available, Air Script caters to a wide range of users, including script kiddies, hackers, pentesters, and security researchers. Whether on the go or using a Raspberry Pi, Air Script provides a convenient solution for network penetration testing and password cracking.

ParaGenie is a script designed to automate the process of paraphrasing articles using the undetectable.ai platform. It allows users to convert lengthy content into unique paraphrased versions by splitting the input text into manageable chunks and processing each chunk individually. The script offers features such as automated paraphrasing, multi-file support for TXT, DOCX, and PDF formats, customizable chunk splitting methods, Gmail-based registration for seamless paraphrasing, purpose-specific writing support, readability level customization, anonymity features for user privacy, error handling and recovery, and output management for easy access and organization of paraphrased content.

Please CLI is an AI helper script designed to create CLI commands by leveraging the GPT model. Users can input a command description, and the script will generate a Linux command based on that input. The tool offers various functionalities such as invoking commands, copying commands to the clipboard, asking questions about commands, and more. It supports parameters for explanation, using different AI models, displaying additional output, storing API keys, querying ChatGPT with specific models, showing the current version, and providing help messages. Users can install Please CLI via Homebrew, apt, Nix, dpkg, AUR, or manually from source. The tool requires an OpenAI API key for operation and offers configuration options for setting API keys and OpenAI settings. Please CLI is licensed under the Apache License 2.0 by TNG Technology Consulting GmbH.

LLM Calculator is a script that estimates the memory requirements and performance of Hugging Face models based on quantization levels. It fetches model parameters, calculates required memory, and analyzes performance with different RAM/VRAM configurations. The tool supports Windows and Linux, AMD, Intel, and Nvidia GPUs. Users can input a Hugging Face model ID to get its parameter count and analyze memory requirements for various quantization schemes. The tool provides estimates for GPU offload percentage and throughput in tk/s. It requires dependencies like python, uv, pciutils for AMD + Linux, and drivers for Nvidia. The tool is designed for rough estimates and may not work with MultiGPU setups.

WavCraft is an LLM-driven agent for audio content creation and editing. It applies LLM to connect various audio expert models and DSP function together. With WavCraft, users can edit the content of given audio clip(s) conditioned on text input, create an audio clip given text input, get more inspiration from WavCraft by prompting a script setting and let the model do the scriptwriting and create the sound, and check if your audio file is synthesized by WavCraft.

Shell-pilot is a simple, lightweight shell script designed to interact with various AI models such as OpenAI, Ollama, Mistral AI, LocalAI, ZhipuAI, Anthropic, Moonshot, and Novita AI from the terminal. It enhances intelligent system management without any dependencies, offering features like setting up a local LLM repository, using official models and APIs, viewing history and session persistence, passing input prompts with pipe/redirector, listing available models, setting request parameters, generating and running commands in the terminal, easy configuration setup, system package version checking, and managing system aliases.

Quark Engine is an AI-powered tool designed for analyzing Android APK files. It focuses on enhancing the detection process for auto-suggestion, enabling users to create detection workflows without coding. The tool offers an intuitive drag-and-drop interface for workflow adjustments and updates. Quark Agent, the core component, generates Quark Script code based on natural language input and feedback. The project is committed to providing a user-friendly experience for designing detection workflows through textual and visual methods. Various features are still under development and will be rolled out gradually.

aioconsole is a Python package that provides asynchronous console and interfaces for asyncio. It offers asynchronous equivalents to input, print, exec, and code.interact, an interactive loop running the asynchronous Python console, customization and running of command line interfaces using argparse, stream support to serve interfaces instead of using standard streams, and the apython script to access asyncio code at runtime without modifying the sources. The package requires Python version 3.8 or higher and can be installed from PyPI or GitHub. It allows users to run Python files or modules with a modified asyncio policy, replacing the default event loop with an interactive loop. aioconsole is useful for scenarios where users need to interact with asyncio code in a console environment.

Vector Companion is an AI tool designed to act as a virtual companion on your computer. It consists of two personalities, Axiom and Axis, who can engage in conversations based on what is happening on the screen. The tool can transcribe audio output and user microphone input, take screenshots, and read text via OCR to create lifelike interactions. It requires specific prerequisites to run on Windows and uses VB Cable to capture audio. Users can interact with Axiom and Axis by running the main script after installation and configuration.

This repository contains a minimal, clean code implementation of the Byte Pair Encoding (BPE) algorithm, commonly used in LLM tokenization. The BPE algorithm is "byte-level" because it runs on UTF-8 encoded strings. This algorithm was popularized for LLMs by the GPT-2 paper and the associated GPT-2 code release from OpenAI. Sennrich et al. 2015 is cited as the original reference for the use of BPE in NLP applications. Today, all modern LLMs (e.g. GPT, Llama, Mistral) use this algorithm to train their tokenizers. There are two Tokenizers in this repository, both of which can perform the 3 primary functions of a Tokenizer: 1) train the tokenizer vocabulary and merges on a given text, 2) encode from text to tokens, 3) decode from tokens to text. The files of the repo are as follows: 1. minbpe/base.py: Implements the `Tokenizer` class, which is the base class. It contains the `train`, `encode`, and `decode` stubs, save/load functionality, and there are also a few common utility functions. This class is not meant to be used directly, but rather to be inherited from. 2. minbpe/basic.py: Implements the `BasicTokenizer`, the simplest implementation of the BPE algorithm that runs directly on text. 3. minbpe/regex.py: Implements the `RegexTokenizer` that further splits the input text by a regex pattern, which is a preprocessing stage that splits up the input text by categories (think: letters, numbers, punctuation) before tokenization. This ensures that no merges will happen across category boundaries. This was introduced in the GPT-2 paper and continues to be in use as of GPT-4. This class also handles special tokens, if any. 4. minbpe/gpt4.py: Implements the `GPT4Tokenizer`. This class is a light wrapper around the `RegexTokenizer` (2, above) that exactly reproduces the tokenization of GPT-4 in the tiktoken library. The wrapping handles some details around recovering the exact merges in the tokenizer, and the handling of some unfortunate (and likely historical?) 1-byte token permutations. Finally, the script train.py trains the two major tokenizers on the input text tests/taylorswift.txt (this is the Wikipedia entry for her kek) and saves the vocab to disk for visualization. This script runs in about 25 seconds on my (M1) MacBook. All of the files above are very short and thoroughly commented, and also contain a usage example on the bottom of the file.

The LLM-Aided OCR Project is an advanced system that enhances Optical Character Recognition (OCR) output by leveraging natural language processing techniques and large language models. It offers features like PDF to image conversion, OCR using Tesseract, error correction using LLMs, smart text chunking, markdown formatting, duplicate content removal, quality assessment, support for local and cloud-based LLMs, asynchronous processing, detailed logging, and GPU acceleration. The project provides detailed technical overview, text processing pipeline, LLM integration, token management, quality assessment, logging, configuration, and customization. It requires Python 3.12+, Tesseract OCR engine, PDF2Image library, PyTesseract, and optional OpenAI or Anthropic API support for cloud-based LLMs. The installation process involves setting up the project, installing dependencies, and configuring environment variables. Users can place a PDF file in the project directory, update input file path, and run the script to generate post-processed text. The project optimizes processing with concurrent processing, context preservation, and adaptive token management. Configuration settings include choosing between local or API-based LLMs, selecting API provider, specifying models, and setting context size for local LLMs. Output files include raw OCR output and LLM-corrected text. Limitations include performance dependency on LLM quality and time-consuming processing for large documents.

**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.

A script to export the chat history of ChatGPT. Supports exporting to text, HTML, Markdown, PNG, and JSON formats. Also allows for exporting multiple conversations at once.

OpenAdapt is an open-source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web Graphical User Interfaces (GUIs). It aims to automate repetitive GUI workflows by leveraging the power of LMMs. OpenAdapt records user input and screenshots, converts them into tokenized format, and generates synthetic input via transformer model completions. It also analyzes recordings to generate task trees and replay synthetic input to complete tasks. OpenAdapt is model agnostic and generates prompts automatically by learning from human demonstration, ensuring that agents are grounded in existing processes and mitigating hallucinations. It works with all types of desktop GUIs, including virtualized and web, and is open source under the MIT license.

This Python Telegram bot utilizes Google's `gemini-pro` LLM API to generate creative text formats based on user input. It's designed to be an engaging and interactive way to explore the capabilities of large language models. Key features include generating various text formats like poems, code, scripts, and musical pieces. The bot supports real-time streaming of the generation process, allowing users to witness the text unfold. Additionally, it can respond to messages with Bard's creative output and handle image-based inputs for multimodal responses. User authentication is optional, and the bot can be easily integrated with Docker or installed via pipenv.

Script Examples and Resource Center for Helping with LAMMPS Input Generation and High-quality Tutorials (SERCHLIGHT)

Polished, articulate AI for script adaptations.

I simplify scripts using exemplary models.

I help actors study scripts. Please tell me exactly what do you need. I can reed your lines in a doc or pdf.

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

I create scripts for marketing-focused Spotify shows.

Optimize a YouTube script based on the top viral videos

Expert in crafting tailored cold calling scripts, one step at a time

Trading script assistant and educator

Expert in scriptwriting, assessments, and educational insights.

I assist with writing and debugging computer scripts.

直接提供中文视频剧本。

Especialista em roteiros para Instagram

Expert in professional, captivating Hollywood scripts.

I assist with creating or updating Google Ads Scripts

Assists in AfterEffects scripting

A guide for Google Apps Script, based on official documentation.

Presents sentences in web-sourced fonts on paper.

I automatically create and evaluate phone scripts, presenting a final draft.

DOS Script expert aiding in batch file creation and optimization.