Best AI tools for< Form Processing >

Instafill.ai is an AI-powered PDF form filler tool designed to streamline the process of filling out tax forms like W-9 and TR-205. It offers an easy-to-use interface that guides users through each step, automated form validation for accuracy and compliance, and real-time assistance powered by advanced AI technology. Users can quickly fill out and validate their tax forms with minimal hassle, ensuring completeness and correctness of submissions.

Base64.ai is an AI-powered document intelligence platform that offers an all-in-one solution to bring AI into document-based workflows. It provides capabilities for complex document processing, workflow automation, AI agents, and data intelligence. The platform uses multi-modal AI to ingest data from various document types, images, and multimedia, and offers pre-trained deep learning models for fast setup without the need for model training. Base64.ai helps automate business decisions through AI agents and Large Action Models, generating charts and reports based on insights from multiple sources. It aims to eliminate manual document processing and outdated text extraction systems, enabling organizations to achieve new levels of efficiency, accuracy, and digital transformation.

Peslac AI is an intelligent document processing and data extraction tool that streamlines document-heavy processes with intelligent automation. It automatically extracts data from various document types, transforms unstructured documents into actionable insights, and automates form processing. Peslac serves industries such as insurance, finance, healthcare, legal, and more, offering tailored solutions to improve operational efficiency. With innovative AI models and advanced technology, Peslac helps users simplify workflows, automate document processing, and integrate data seamlessly. Experience the power of AI-driven automation with Peslac to enhance workflow efficiency and accuracy.

MakeForms is a powerful and secure form builder that empowers teams to create advanced, visually stunning forms with top-notch security standards, now enhanced by AI capabilities. With MakeForms, you can create one-at-a-time, step forms, or all-at-once forms with ease using our user-friendly interface and intuitive design. You can also customize your forms with your own fonts and branding, and even publish them on your own domain, giving you complete control over your form's appearance and online presence. MakeForms also offers a variety of features to help you collect and organize your data, including a table view, summary view, and BI view. With MakeForms, you can be sure that your forms are secure and your data is protected.

Shownotes Summarize with ChatGPT is an AI-powered tool that helps you summarize long-form audio and video content. With just a few clicks, you can get a concise and accurate summary of any podcast, lecture, or meeting. Shownotes Summarize with ChatGPT is the perfect tool for busy professionals who want to stay up-to-date on the latest information without having to spend hours listening to or watching content.

Fillout is an AI-powered form builder that allows users to create powerful forms, surveys, and quizzes that their audience will enjoy answering. It is designed to be easy to use, with a drag-and-drop interface and a variety of templates to choose from. Fillout also integrates with a variety of other tools, such as Airtable, Salesforce, and Google Sheets, making it a versatile option for businesses of all sizes.

Simulai is an open-source conversational form builder that allows users to create interactive surveys and forms that feel like natural conversations. It is inspired by the simplicity of Notion and is completely free to use. With Simulai, users can easily add logic, choose from a list of templates, and host their forms on their own servers or use Simulai's free cloud hosting services.

MagicBlog is an AI-powered blogging platform that helps users generate high-quality, SEO-optimized blog content in just minutes. With MagicBlog, users can create long-form blog posts, articles, and other types of written content without having to spend hours researching and writing. The platform's AI engine uses natural language processing and machine learning to analyze user input and generate unique, plagiarism-free content that is tailored to the user's specific needs and requirements. MagicBlog also offers a range of features to help users improve their writing, including a built-in grammar and spell checker, a plagiarism checker, and a readability score calculator.

Castmagic is an AI-powered content creation tool that helps professionals and creators automate their content workflow. With Castmagic, users can quickly and easily turn audio and video content into a variety of content assets, including transcripts, show notes, blog posts, social media posts, and more. Castmagic's AI technology ensures that the generated content is accurate, engaging, and on-brand.

Castmagic is an AI-powered tool that helps users automate their content workflow by turning conversations into content like magic. It leverages AI to transcribe audio and video files, generate quality drafts based on context, and create various content assets such as articles, newsletters, social media posts, and more. Trusted by professionals, Castmagic streamlines the process of content creation for creators, podcasters, marketers, and other professionals who take content seriously.

GrowthBar is an AI-powered writing tool that helps content teams and bloggers research, write, optimize, and distribute SEO-friendly content. It offers a range of features including an AI writing assistant, SEO writing services, keyword research, competitor research, and more. GrowthBar is designed to help users create high-quality content that ranks well in search engines and drives organic traffic.

Moonbeam is an AI-powered writing assistant that helps users generate long-form content, such as essays, stories, articles, and blog posts. It offers a variety of features to help users write better content, including a smart chat feature that provides real-time feedback, a content cluster generator that helps users create comprehensive content clusters around a single topic, and a custom style generator that allows users to write in the style of famous authors or celebrities. Moonbeam also offers a collaboration mode that allows users to work together on documents in real-time.

Reverb Street is an AI-powered tool that helps podcasters create short-form video clips from their audio content. These clips can then be shared on social media to promote the podcast and reach a wider audience. Reverb Street is easy to use and requires no technical expertise. Simply connect your podcast feed, select the episode you want to promote, and choose the style of your clip. Reverb Street will automatically generate a video clip that is optimized for social media. You can then customize the clip with your own branding and messaging. Reverb Street is a valuable tool for podcasters who want to grow their audience and reach more listeners.

BlogSEO AI is an AI-powered content creation and SEO optimization tool that helps businesses create high-quality, SEO-friendly content for their websites and blogs. It offers a range of features to help users research keywords, generate content, optimize titles and meta descriptions, and track their SEO performance. BlogSEO AI is trusted by over 30,000 users and is available as a web-based platform and a Shopify app.

Discourse is a powerful, open-source community platform that enables thoughtful discussion and meaningful connections. With features for every use case, from tracking product feedback to sharing your latest creations, Discourse makes it easy to build and manage thriving online communities. Discourse is trusted by enterprise customers and used by over 20,000 online communities of all shapes and sizes.

Raay is an AI-powered forms and surveys platform that helps users create, share, run, and analyze data. It offers a range of features including highly integrable forms, bias detection, and meaningful insights. Raay's affordable pricing plans make it accessible to users of all levels.

UpSum is a text summarization tool that uses advanced AI technology to condense lengthy texts into concise summaries. It is designed to save users time and effort by extracting the key points and insights from documents, research papers, news articles, and other written content. UpSum's AI algorithm analyzes the text, identifies the most important sentences and phrases, and assembles them into a coherent summary that accurately represents the main ideas and key takeaways of the original text. The tool is easy to use, simply upload or paste your text, select the desired summary length, and click the summarize button. UpSum is available as a free web-based tool, as well as a premium subscription with additional features and capabilities.

RE:Create is an AI-powered app that provides endless content ideas and recreates any Instagram/Tiktok video in your style, tone, language, and even your voice! Our application streamlines the content creation process, eliminating the need for extensive planning and strategy. Save time and effort while achieving effective results. No need to hire a separate voiceover artist. Our application offers customizable voice options, ensuring your videos have the perfect audio to complement the visuals. No need to hire a professional scriptwriter. Our platform assists in creating engaging video scripts, guiding you through the process and ensuring your content flows seamlessly.

Typebot is a free, open-source platform that allows users to create conversational apps and forms without coding. Typebot's drag-and-drop interface lets users create chatbots visually using pre-defined blocks.

Datagrid is an AI-powered platform that acts as your co-worker, helping you find, enrich, and delegate information. It harnesses the power of AI to enrich datasets, access knowledge, execute tasks, and automate follow-ups. Datagrid AI Agents can free your team from the burden of enriching messy data, allowing them to focus on revenue-generating tasks. The platform offers features like AI enrichment, data processing, long-form content writing, generating insights, and creating a knowledge base.

Sparrow is an innovative open-source solution for efficient data extraction and processing from various documents and images. It seamlessly handles forms, invoices, receipts, and other unstructured data sources. Sparrow stands out with its modular architecture, offering independent services and pipelines all optimized for robust performance. One of the critical functionalities of Sparrow - pluggable architecture. You can easily integrate and run data extraction pipelines using tools and frameworks like LlamaIndex, Haystack, or Unstructured. Sparrow enables local LLM data extraction pipelines through Ollama or Apple MLX. With Sparrow solution you get API, which helps to process and transform your data into structured output, ready to be integrated with custom workflows. Sparrow Agents - with Sparrow you can build independent LLM agents, and use API to invoke them from your system. **List of available agents:** * **llamaindex** - RAG pipeline with LlamaIndex for PDF processing * **vllamaindex** - RAG pipeline with LLamaIndex multimodal for image processing * **vprocessor** - RAG pipeline with OCR and LlamaIndex for image processing * **haystack** - RAG pipeline with Haystack for PDF processing * **fcall** - Function call pipeline * **unstructured-light** - RAG pipeline with Unstructured and LangChain, supports PDF and image processing * **unstructured** - RAG pipeline with Weaviate vector DB query, Unstructured and LangChain, supports PDF and image processing * **instructor** - RAG pipeline with Unstructured and Instructor libraries, supports PDF and image processing. Works great for JSON response generation

AI-in-a-Box is a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction, while maintaining the highest standards of quality and efficiency. It provides essential guidance on the responsible use of AI and LLM technologies, specific security guidance for Generative AI (GenAI) applications, and best practices for scaling OpenAI applications within Azure. The available accelerators include: Azure ML Operationalization in-a-box, Edge AI in-a-box, Doc Intelligence in-a-box, Image and Video Analysis in-a-box, Cognitive Services Landing Zone in-a-box, Semantic Kernel Bot in-a-box, NLP to SQL in-a-box, Assistants API in-a-box, and Assistants API Bot in-a-box.

Data Prep Kit is a community project aimed at democratizing and speeding up unstructured data preparation for LLM app developers. It provides high-level APIs and modules for transforming data (code, language, speech, visual) to optimize LLM performance across different use cases. The toolkit supports Python, Ray, Spark, and Kubeflow Pipelines runtimes, offering scalability from laptop to datacenter-scale processing. Developers can contribute new custom modules and leverage the data processing library for building data pipelines. Automation features include workflow automation with Kubeflow Pipelines for transform execution.

Data Prep Kit accelerates unstructured data preparation for LLM app developers. It allows developers to cleanse, transform, and enrich unstructured data for pre-training, fine-tuning, instruct-tuning LLMs, or building RAG applications. The kit provides modules for Python, Ray, and Spark runtimes, supporting Natural Language and Code data modalities. It offers a framework for custom transforms and uses Kubeflow Pipelines for workflow automation. Users can install the kit via PyPi and access a variety of transforms for data processing pipelines.

HuggingFists is a low-code data flow tool that enables convenient use of LLM and HuggingFace models. It provides functionalities similar to Langchain, allowing users to design, debug, and manage data processing workflows, create and schedule workflow jobs, manage resources environment, and handle various data artifact resources. The tool also offers account management for users, allowing centralized management of data source accounts and API accounts. Users can access Hugging Face models through the Inference API or locally deployed models, as well as datasets on Hugging Face. HuggingFists supports breakpoint debugging, branch selection, function calls, workflow variables, and more to assist users in developing complex data processing workflows.

This repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.

RAG Foundry is a library designed to enhance Large Language Models (LLMs) by fine-tuning models on RAG-augmented datasets. It helps create training data, train models using parameter-efficient finetuning (PEFT), and measure performance using RAG-specific metrics. The library is modular, customizable using configuration files, and facilitates prototyping with various RAG settings and configurations for tasks like data processing, retrieval, training, inference, and evaluation.

RAG-FiT is a library designed to improve Language Models' ability to use external information by fine-tuning models on specially created RAG-augmented datasets. The library assists in creating training data, training models using parameter-efficient finetuning (PEFT), and evaluating performance using RAG-specific metrics. It is modular, customizable via configuration files, and facilitates fast prototyping and experimentation with various RAG settings and configurations.

The `unstructured` library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. The use cases of `unstructured` revolve around streamlining and optimizing the data processing workflow for LLMs. `unstructured` modular functions and connectors form a cohesive system that simplifies data ingestion and pre-processing, making it adaptable to different platforms and efficient in transforming unstructured data into structured outputs.

ExtractThinker is a library designed for extracting data from files and documents using Language Model Models (LLMs). It offers ORM-style interaction between files and LLMs, supporting multiple document loaders such as Tesseract OCR, Azure Form Recognizer, AWS TextExtract, and Google Document AI. Users can customize extraction using contract definitions, process documents asynchronously, handle various document formats efficiently, and split and process documents. The project is inspired by the LangChain ecosystem and focuses on Intelligent Document Processing (IDP) using LLMs to achieve high accuracy in document extraction tasks.

The Google Cloud Document AI Samples repository contains code samples and Community Samples demonstrating how to analyze, classify, and search documents using Google Cloud Document AI. It includes various projects showcasing different functionalities such as integrating with Google Drive, processing documents using Python, content moderation with Dialogflow CX, fraud detection, language extraction, paper summarization, tax processing pipeline, and more. The repository also provides access to test document files stored in a publicly-accessible Google Cloud Storage Bucket. Additionally, there are codelabs available for optical character recognition (OCR), form parsing, specialized processors, and managing Document AI processors. Community samples, like the PDF Annotator Sample, are also included. Contributions are welcome, and users can seek help or report issues through the repository's issues page. Please note that this repository is not an officially supported Google product and is intended for demonstrative purposes only.

This repository contains an implementation of Ring Attention, a technique for processing large sequences in transformers. Ring Attention splits the data across the sequence dimension and applies ring reduce to the processing of the tiles of the attention matrix, similar to flash attention. It also includes support for Striped Attention, a follow-up paper that permutes the sequence for better workload balancing for autoregressive transformers, and grouped query attention, which saves on communication costs during the ring reduce. The repository includes a CUDA version of the flash attention kernel, which is used for the forward and backward passes of the ring attention. It also includes logic for splitting the sequence evenly among ranks, either within the attention function or in the external ring transformer wrapper, and basic test cases with two processes to check for equivalent output and gradients.

Easy Voice Toolkit is a toolkit based on open source voice projects, providing automated audio tools including speech model training. Users can seamlessly integrate functions like audio processing, voice recognition, voice transcription, dataset creation, model training, and voice conversion to transform raw audio files into ideal speech models. The toolkit supports multiple languages and is currently only compatible with Windows systems. It acknowledges the contributions of various projects and offers local deployment options for both users and developers. Additionally, cloud deployment on Google Colab is available. The toolkit has been tested on Windows OS devices and includes a FAQ section and terms of use for academic exchange purposes.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

BMF (Babit Multimedia Framework) is a cross-platform, multi-language, customizable multimedia processing framework developed by ByteDance. It offers native compatibility with Linux, Windows, and macOS, Python, Go, and C++ APIs, and high performance with strong GPU acceleration. BMF allows developers to enhance its features independently and provides efficient data conversion across popular frameworks and hardware devices. BMFLite is a client-side lightweight framework used in apps like Douyin/Xigua, serving over one billion users daily. BMF is widely used in video streaming, live transcoding, cloud editing, and mobile pre/post processing scenarios.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

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.

LOTUS (LLMs Over Tables of Unstructured and Structured Data) is a query engine that provides a declarative programming model and an optimized query engine for reasoning-based query pipelines over structured and unstructured data. It offers a simple and intuitive Pandas-like API with semantic operators for fast and easy LLM-powered data processing. The tool implements a semantic operator programming model, allowing users to write AI-based pipelines with high-level logic and leaving the rest of the work to the query engine. LOTUS supports various semantic operators like sem_map, sem_filter, sem_extract, sem_agg, sem_topk, sem_join, sem_sim_join, and sem_search, enabling users to perform tasks like mapping records, filtering data, aggregating records, and more. The tool also supports different model classes such as LM, RM, and Reranker for language modeling, retrieval, and reranking tasks respectively.

AntSK is an AI knowledge base/agent built with .Net8+Blazor+SemanticKernel. It features a semantic kernel for accurate natural language processing, a memory kernel for continuous learning and knowledge storage, a knowledge base for importing and querying knowledge from various document formats, a text-to-image generator integrated with StableDiffusion, GPTs generation for creating personalized GPT models, API interfaces for integrating AntSK into other applications, an open API plugin system for extending functionality, a .Net plugin system for integrating business functions, real-time information retrieval from the internet, model management for adapting and managing different models from different vendors, support for domestic models and databases for operation in a trusted environment, and planned model fine-tuning based on llamafactory.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

Expert in populating Word .docx forms with data from other documents, prioritizing accuracy and formal communication.

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Entrepreneurs can get distracted easily and form bad habits. This GPT helps you adopt rich habits and get rich by doing so.

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I write engaging viral content that no one hates.

Break down planning tasks into steps and iteratively write long-form content.

Expert in creating tailored informed consent forms for medical use.

Form-based guide with research updates for PhD proposals

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I create emotionally compelling short form sales letters.

It's me in GPT form. Or is it actually me typing the answers to you? 🤣

A skilled copy editor for long-form essays, focusing on clarity, coherence, and correctness.

Assistance in understanding and filling out the Borrower's Defense to Repayment Form provided by the United States Department of Education.

This bot helps you solve anagrams and rearrange letters to form words or phrases.

Your Stoic philosopher, Marcus Aurelius in digital form.

Maxeom Digital builds the best SEO optimized websites. Use this GPT for writing the long form content to rank for relevant keywords and content.

Friendly ILP (Inductive Logic Programming) expert, engaging and supportive. Give examples in form of pos(...) and neg(...) examples.

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