Best AI tools for< Process Receipts >

Affinda is a document AI platform that can read, understand, and extract data from any document type. It combines 10+ years of IP in document reconstruction with the latest advancements in computer vision, natural language processing, and deep learning. Affinda's platform can be used to automate a variety of document processing workflows, including invoice processing, receipt processing, credit note processing, purchase order processing, account statement processing, resume parsing, job description parsing, resume redaction, passport processing, birth certificate processing, and driver's license processing. Affinda's platform is used by some of the world's leading organizations, including Google, Microsoft, Amazon, and IBM.

FormX.ai is an AI-powered data extraction and conversion tool that automates the process of extracting data from physical documents and converting it into digital formats. It supports a wide range of document types, including invoices, receipts, purchase orders, bank statements, contracts, HR forms, shipping orders, loyalty member applications, annual reports, business certificates, personnel licenses, and more. FormX.ai's pre-configured data extraction models and effortless API integration make it easy for businesses to integrate data extraction into their existing systems and workflows. With FormX.ai, businesses can save time and money on manual data entry and improve the accuracy and efficiency of their data processing.

Cradl AI is a no-code AI-powered document workflow automation tool that helps organizations automate document-related tasks, such as data extraction, processing, and validation. It uses AI to automatically extract data from complex document layouts, regardless of layout or language. Cradl AI also integrates with other no-code tools, making it easy to build and deploy custom AI models.

Kupiks is an AI-powered document processing API that automates the conversion of forms and documents into structured data. By eliminating manual data entry, Kupiks streamlines the process, saving time and ensuring accuracy. The versatile API caters to a wide range of industries and offers seamless integration for efficient automation. Joining the beta program allows professionals to shape the future of document automation and gain exclusive early access to the platform.

Base64.ai is an AI-powered document intelligence company that offers a comprehensive solution to bring AI into document-based workflows. The platform enables users to power complex document processing, workflow automation, AI agents, and data intelligence. With features like multi-modal AI data ingestion, pre-trained deep learning models, AI agents for business decisions, and integrations with various systems, Base64.ai aims to enhance efficiency, accuracy, and digital transformation for organizations.

Veryfi is an OCR API tool for invoice and receipt data extraction. It offers fast, accurate, and secure document capture and data extraction on any type of document. Veryfi empowers users to process documents efficiently, automate manual data entry, and implement AI into various business processes. The tool is designed to streamline workflows, enhance accuracy, and unlock new levels of efficiency across industries such as finance, insurance, and more.

Receipt OCR API by ReceiptUp is an advanced tool that leverages OCR and AI technology to extract structured data from receipt and invoice images. The API offers high accuracy and multilingual support, making it ideal for businesses worldwide to streamline financial operations. With features like multilingual support, high accuracy, support for multiple formats, accounting downloads, and affordability, Receipt OCR API is a powerful tool for efficient receipt management and data extraction.

SplitParty is an AI-powered application that simplifies the process of splitting complicated bills with friends. Users can easily split a bill by taking a photo of the receipt, allowing the AI to identify items, quantities, and prices. The application enables users to add friends, select items ordered, and split the bill effortlessly. SplitParty Plus offers additional features such as creating groups, saving bill history, and more. Developed by @dqnamo, SplitParty is a bootstrapped indie product designed to streamline bill-splitting experiences.

AI Receipt Tracker is an intelligent tool designed for efficient receipt management and expense tracking. It utilizes artificial intelligence technology to automate the process of organizing and storing receipts, making it easier for users to track their expenses and manage their finances. With AI Receipt Tracker, users can easily capture, categorize, and store receipts digitally, eliminating the need for manual entry and paper clutter. The application offers a user-friendly interface and robust features to streamline the receipt management process, saving time and improving accuracy.

Procys is a document processing platform powered by AI that offers solutions for various document-related tasks. It features a self-learning engine for efficient document processing, seamless integration with over 260 apps, OCR API powered by AI for optical character recognition, customized data extraction capabilities, and AI autosplit for automatic document splitting. Procys caters to different use cases such as invoice OCR, ID card OCR, receipt OCR, and account payable automation. The platform ensures data security as a top priority and provides enterprise-grade security and compliance solutions.

Automaited is an AI application that offers Ada - an AI Agent for automating order processing. Ada handles orders from receipt to ERP entry, extracting, validating, and transferring data to ensure accuracy and efficiency. The application utilizes state-of-the-art AI technology to streamline order processing, saving time, reducing errors, and enabling users to focus on customer satisfaction. With seamless automation, Ada integrates into ERP systems, making order processing effortless, quick, and cost-efficient. Automaited provides tailored automations to make operational processes up to 70% more efficient, enhancing performance and reducing error rates.

Process Street is an AI-powered platform that helps businesses streamline their processes and improve operational efficiency. It offers features such as workflows automation, data unification, document sharing, and AI transformation. With Process Street, users can create, track, and complete tasks efficiently, make data-driven decisions, and automate repetitive tasks using generative AI. The platform also provides analytics to track key performance indicators and ensure consistent adherence to procedures. Process Street is trusted by top companies to revolutionize workflow management and drive productivity and growth.

Process Street is a powerful checklist, workflow, and SOP software that is designed to streamline and automate business processes. It offers a wide range of features such as workflows, projects, data sets, forms, and pages to help organizations organize and manage their operations efficiently. With AI capabilities, Process Street can transform manual processes, boost productivity, and empower decision-making with analytics. The platform also provides integrations with various tools for maximum efficiency.

Super.AI provides Intelligent Document Processing (IDP) solutions powered by Large Language Models (LLMs) and human-in-the-loop (HITL) capabilities. It automates document processing tasks such as data extraction, classification, and redaction, enabling businesses to streamline their workflows and improve accuracy. Super.AI's platform leverages cutting-edge AI models from providers like Amazon, Google, and OpenAI to handle complex documents, ensuring high-quality outputs. With its focus on accuracy, flexibility, and scalability, Super.AI caters to various industries, including financial services, insurance, logistics, and healthcare.

Smace is an AI-powered SaaS platform designed to enhance process implementation efficiency. It offers features such as enhanced process collaboration, automated workflows and integration, streamlined task management, and data-driven decision support. Smace aims to bridge the gap between process design and execution, promoting team efficiency, streamlined collaboration, and advanced integration.

Greenhouse is an AI-powered applicant tracking software and hiring platform that offers smart hiring tools to streamline the hiring process. It provides features such as AI tools for sourcing, texting solutions, and feature upgrades to help connect teams and propel success. Greenhouse is designed to help companies hire fairly and purposefully, offering expertise and advice to maximize hiring ROI and support business growth at any stage.

HireQuotient is an end-to-end recruitment automation platform for non-tech hiring. It supports talent leaders in sourcing, screening, and interviewing top talent in an inclusive way. The platform offers features such as AI-recommended candidate filters, multi-channel outreach automation, and seamless navigation for hiring. HireQuotient's AI tool revolutionizes talent discovery processes, providing warmth, efficiency, and optimization to organizations' people functions.

Expertia AI is an AI-powered hiring partner that leverages advanced algorithms and machine learning to streamline the recruitment process. It offers a comprehensive suite of tools to assist HR professionals in sourcing, screening, and selecting top talent efficiently. By automating repetitive tasks and providing data-driven insights, Expertia AI helps companies make informed hiring decisions and improve overall recruitment outcomes.

PyjamaHR is a leading AI-powered Applicant Tracking System (ATS) and recruitment software designed to streamline the hiring process for businesses of all sizes. It offers advanced features such as source management, candidate evaluation, collaboration tools, and AI-powered candidate tests to enhance the efficiency and effectiveness of the recruitment process. With a user-friendly interface and robust security measures, PyjamaHR is a trusted solution for managing talent acquisition and improving hiring outcomes.

Recooty is a modern applicant tracking system designed for growing companies to streamline their recruiting process. It offers features such as applicant tracking, job posting, candidate tracking, interview scheduling, talent pool management, employer branding, and HR tools. With Recooty, companies can attract, engage, and hire their next teammates with ease. The platform also provides resources like job descriptions, templates, interview questions, and AI tools to enhance the recruitment experience.

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.

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

The 'unilm' repository is a collection of tools, models, and architectures for Foundation Models and General AI, focusing on tasks such as NLP, MT, Speech, Document AI, and Multimodal AI. It includes various pre-trained models, such as UniLM, InfoXLM, DeltaLM, MiniLM, AdaLM, BEiT, LayoutLM, WavLM, VALL-E, and more, designed for tasks like language understanding, generation, translation, vision, speech, and multimodal processing. The repository also features toolkits like s2s-ft for sequence-to-sequence fine-tuning and Aggressive Decoding for efficient sequence-to-sequence decoding. Additionally, it offers applications like TrOCR for OCR, LayoutReader for reading order detection, and XLM-T for multilingual NMT.

Tools4AI is a Java-based Agentic Framework for building AI agents to integrate with enterprise Java applications. It enables the conversion of natural language prompts into actionable behaviors, streamlining user interactions with complex systems. By leveraging AI capabilities, it enhances productivity and innovation across diverse applications. The framework allows for seamless integration of AI with various systems, such as customer service applications, to interpret user requests, trigger actions, and streamline workflows. Prompt prediction anticipates user actions based on input prompts, enhancing user experience by proactively suggesting relevant actions or services based on context.

Chat Your Doc is an experimental project exploring various applications based on LLM technology. It goes beyond being just a chatbot project, focusing on researching LLM applications using tools like LangChain and LlamaIndex. The project delves into UX, computer vision, and offers a range of examples in the 'Lab Apps' section. It includes links to different apps, descriptions, launch commands, and demos, aiming to showcase the versatility and potential of LLM applications.

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

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.

MetaGPT is a multi-agent framework that enables GPT to work in a software company, collaborating to tackle more complex tasks. It assigns different roles to GPTs to form a collaborative entity for complex tasks. MetaGPT takes a one-line requirement as input and outputs user stories, competitive analysis, requirements, data structures, APIs, documents, etc. Internally, MetaGPT includes product managers, architects, project managers, and engineers. It provides the entire process of a software company along with carefully orchestrated SOPs. MetaGPT's core philosophy is "Code = SOP(Team)", materializing SOP and applying it to teams composed of LLMs.

Extractor is an AI-powered data extraction library for Laravel that leverages OpenAI's capabilities to effortlessly extract structured data from various sources, including images, PDFs, and emails. It features a convenient wrapper around OpenAI Chat and Completion endpoints, supports multiple input formats, includes a flexible Field Extractor for arbitrary data extraction, and integrates with Textract for OCR functionality. Extractor utilizes JSON Mode from the latest GPT-3.5 and GPT-4 models, providing accurate and efficient data extraction.

The On-board Artificial Intelligence Research (OnAIR) Platform is a framework that enables AI algorithms written in Python to interact with NASA's cFS. It is intended to explore research concepts in autonomous operations in a simulated environment. The platform provides tools for generating environments, handling telemetry data through Redis, running unit tests, and contributing to the repository. Users can set up a conda environment, configure telemetry and Redis examples, run simulations, and conduct unit tests to ensure the functionality of their AI algorithms. The platform also includes guidelines for licensing, copyright, and contributions to the repository.

The LiveKit Agent Framework is designed for building real-time, programmable participants that run on servers. Easily tap into LiveKit WebRTC sessions and process or generate audio, video, and data streams. The framework includes plugins for common workflows, such as voice activity detection and speech-to-text. Agents integrates seamlessly with LiveKit server, offloading job queuing and scheduling responsibilities to it. This eliminates the need for additional queuing infrastructure. Agent code developed on your local machine can scale to support thousands of concurrent sessions when deployed to a server in production.

Sail is a tool designed to unify stream processing, batch processing, and compute-intensive workloads, serving as a drop-in replacement for Spark SQL and the Spark DataFrame API in single-process settings. It aims to streamline data processing tasks and facilitate AI workloads.

FinalRip is a distributed video processing tool based on FFmpeg and VapourSynth. It cuts the original video into multiple clips, processes each clip in parallel, and merges them into the final video. Users can deploy the system in a distributed way, configure settings via environment variables or remote config files, and develop/test scripts in the vs-playground environment. It supports Nvidia GPU, AMD GPU with ROCm support, and provides a dashboard for selecting compatible scripts to process videos.

RPA Framework is an open-source collection of libraries and tools for Robotic Process Automation (RPA), designed to be used with Robot Framework and Python. It offers well-documented core libraries for Software Robot Developers, optimized for Robocorp Control Room and Developer Tools, and accepts external contributions. The project includes various libraries for tasks like archiving, browser automation, date/time manipulations, cloud services integration, encryption operations, database interactions, desktop automation, document processing, email operations, Excel manipulation, file system operations, FTP interactions, web API interactions, image manipulation, AI services, and more. The development of the repository is Python-based and requires Python version 3.8+, with tooling based on poetry and invoke for compiling, building, and running the package. The project is licensed under the Apache License 2.0.

Cyber is a superintelligence protocol that aims to create a decentralized and censorship-resistant internet. It uses a novel consensus mechanism called CometBFT and a knowledge graph to store and process information. Cyber is designed to be scalable, secure, and efficient, and it has the potential to revolutionize the way we interact with the internet.

pgai simplifies the process of building search and Retrieval Augmented Generation (RAG) AI applications with PostgreSQL. It brings embedding and generation AI models closer to the database, allowing users to create embeddings, retrieve LLM chat completions, reason over data for classification, summarization, and data enrichment directly from within PostgreSQL in a SQL query. The tool requires an OpenAI API key and a PostgreSQL client to enable AI functionality in the database. Users can install pgai from source, run it in a pre-built Docker container, or enable it in a Timescale Cloud service. The tool provides functions to handle API keys using psql or Python, and offers various AI functionalities like tokenizing, detokenizing, embedding, chat completion, and content moderation.

PromptMage simplifies the process of creating and managing LLM workflows as a self-hosted solution. It offers an intuitive interface for prompt testing and comparison, incorporates version control features, and aims to improve productivity in both small teams and large enterprises. The tool bridges the gap in LLM workflow management, empowering developers, researchers, and organizations to make LLM technology more accessible and manageable for the next wave of AI innovations.

SimAI is the industry's first full-stack, high-precision simulator for AI large-scale training. It provides detailed modeling and simulation of the entire LLM training process, encompassing framework, collective communication, network layers, and more. This comprehensive approach offers end-to-end performance data, enabling researchers to analyze training process details, evaluate time consumption of AI tasks under specific conditions, and assess performance gains from various algorithmic optimizations.

SiLLM is a toolkit that simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework. It provides features such as LLM loading, LoRA training, DPO training, a web app for a seamless chat experience, an API server with OpenAI compatible chat endpoints, and command-line interface (CLI) scripts for chat, server, LoRA fine-tuning, DPO fine-tuning, conversion, and quantization.

Truss is a tool that simplifies the process of serving AI/ML models in production. It provides a consistent and easy-to-use interface for packaging, testing, and deploying models, regardless of the framework they were created with. Truss also includes a live reload server for fast feedback during development, and a batteries-included model serving environment that eliminates the need for Docker and Kubernetes configuration.

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