Best AI tools for< Categorize Expenses >

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.

Navan is a comprehensive corporate travel management platform that offers solutions for business travel and expense management. It provides tools for managing travel programs, company cards, expenses, team offsites, and booking trips for employees. With features like automated expense categorization, real-time expense visibility, and integration with ERP systems, Navan aims to streamline corporate travel processes and optimize savings. The platform caters to various industries and company sizes, offering unrivaled control, visibility, and savings for businesses of all scales.

MonAi is an AI-powered expense tracker that simplifies the process of tracking expenses by allowing users to input expenses in a conversational manner, similar to sending a voice message to a friend. The AI technology automatically categorizes the expenses, generates a short description, and records the amount. Users can easily confirm and save the information without the need for logging in. The data is securely stored in the user's private iCloud account, ensuring privacy and security. Additionally, MonAi enables users to share and collaborate on expense tracking. Overall, MonAi streamlines expense management through intuitive AI capabilities.

SparkReceipt is an AI-powered receipt scanner, expense tracker, and document manager application that streamlines pre-accounting tasks by reducing manual data entry up to 95%. It allows users to scan receipts, invoices, and bank statements, track expenses and income with AI-powered scanning and automatic categorization. The application works in any language and supports 150 currencies. SparkReceipt offers features like automatic data extraction (OCR), forwarding e-receipts from email, managing finances across borders, separating business and personal expenses, real-time profit/loss monitoring, and lightning-fast expense tracking.

Expense Sorted is an AI-powered tool designed to automate the categorization of expenses, eliminating the manual effort required every month. By integrating with Google Sheets, users can streamline their workflow and benefit from accurate transaction identification. The tool offers customizable categories to suit personal or business needs, ensuring a seamless user experience.

Receiptor AI is an automated tool that extracts and categorizes receipts and invoices from emails and WhatsApp messages. It saves time by generating accountant-ready reports or forwarding the documents to other systems. The tool supports multiple currencies and languages, offers smart categorization, audit-ready reports, retroactive extraction, real-time processing, and WhatsApp support. It integrates with various email accounts, provides real-time expense analytics, and allows for easy export in multiple formats. Receiptor AI is designed to streamline accounting processes and help users manage their financial transactions efficiently.

Budgetfy Pro is an AI-powered financial analysis tool designed to simplify and streamline your financial management. With advanced artificial intelligence capabilities, it effortlessly categorizes and analyzes your financial statements with high accuracy. The tool ensures complete privacy by encrypting your financial data and never sharing it with third parties. Users can create custom categories to tailor the tool to their unique financial needs and benefit from multi-currency support for handling transactions in various currencies. Gain detailed insights into your spending habits and financial trends, and easily integrate data from different sources like CSV, PDF, and Excel formats. Take control of your finances and join thousands of users who have optimized their financial management with Budgetfy Pro.

CategorAIze.io is an AI-powered tool that helps users categorize data effortlessly using the latest AI technologies. Users can define custom categories, upload data items, and let the cutting-edge LLM AI automatically assign entries based on their content without the need for pretraining. The tool supports multi-level hierarchies, text and image-based categorization, and offers pay-as-you-go pricing options. Additionally, users can access the tool via browser, API, and plugins for a seamless experience.

Charm is an AI-powered spreadsheet assistant that helps users clean messy data, create content, summarize feedback, classify sales leads, and generate dummy data. It is a Google Sheets add-on that automates tasks that are impossible to do with traditional formulas. Charm is used by hundreds of analysts, marketers, product managers, and more.

JobtitlesAI is a machine-learning API that sorts job titles into two categories: field (sales, finance, I.T...) and position (executive, management, assistant...). It can be used in spreadsheets, Hubspot, or via API. JobtitlesAI is multilingual and GDPR compliant.

FranzAI LLM Playground is an AI-powered tool that helps you extract, classify, and analyze unstructured text data. It leverages transformer models to provide accurate and meaningful results, enabling you to build data applications faster and more efficiently. With FranzAI, you can accelerate product and content classification, enhance data interpretation, and advance data extraction processes, unlocking key insights from your textual data.

Perfios is an AI-powered FinTech software company that offers digital solutions for various industries such as banking, insurance, fintech, payments, e-commerce, legal, gaming, and more. Their platform provides end-to-end solutions for digital onboarding, underwriting, risk assessment, fraud detection, and customer engagement. Perfios leverages AI and machine learning technologies to streamline processes, enhance operational efficiency, and improve decision-making in financial services. With a wide range of products and features, Perfios aims to transform the way businesses experience technology and make data-driven decisions.

Booke AI is an AI-driven bookkeeping software that automates tasks, reduces errors, and improves communication. It uses AI to categorize transactions, extract data from invoices and receipts, and provide expert reconciliation assistance. Booke AI integrates with Xero, QuickBooks, and Zoho Books, and offers a user-friendly client portal for seamless collaboration. With Booke AI, businesses can save time, reduce stress, and improve the accuracy of their bookkeeping.

Breezemail is an AI-powered email organization tool that helps users manage their inboxes by automatically categorizing emails and highlighting important ones. It uses ChatGPT queries to create custom categories and offers pre-defined categories for easy organization. Breezemail integrates with Outlook and Gmail and does not retain, sell, or analyze user data for any purposes other than those related to its publicly accessible features.

Groupt is an AI-powered data categorization and analytics application that simplifies the process of transforming complex arrays of qualitative data into clear, actionable insights for enhanced decision-making. Users can upload CSV files containing data such as user feedback, survey responses, or any qualitative data to receive visualizations of response groupings, categories, and more. The application offers high accuracy and reliability in categorizing data, with a user-friendly interface and transparent pricing options.

Imagga is a leading provider of image recognition solutions for developers and businesses. Its API empowers intelligent apps with customizable machine learning technology. Imagga's solutions include tagging, categorization, cropping, color extraction, visual search, facial recognition, custom training, and content moderation. These solutions are used by over 30K startups, developers, and students, and trusted by over 200 business customers in more than 82 countries worldwide.

MonkeyLearn is an AI tool that specializes in text processing. It offers a range of features for text classification, extraction, data analysis, and more. Users can build custom models, process data manually or automatically, and integrate the tool into their workflows. MonkeyLearn provides advanced settings for custom models and ensures user data security and privacy compliance.

PromptLoop is an AI-powered web scraping and data extraction platform that allows users to run AI automation tasks on lists of data with a simple file upload. It enables users to crawl company websites, categorize entities, and conduct research tasks at a fraction of the cost of other alternatives. By leveraging unique company data from spreadsheets, PromptLoop enables the creation of custom AI models tailored to specific needs, facilitating the extraction of valuable insights from complex information.

Xobin is a recruitment software that offers a powerful feature called Circles to help recruiters segregate candidates based on skills, roles, and other attributes. It aims to streamline the hiring process by enabling efficient organization and categorization of talent pools. Xobin empowers teams to manage candidates smarter, enhancing the overall recruitment workflow.

Luxi is an AI-powered tool that enables users to automatically discover items in images. By leveraging advanced image recognition technology, Luxi can accurately identify objects within images, making it easier for users to search, categorize, and analyze visual content. With Luxi, users can streamline their image processing workflows, saving time and effort in identifying and tagging objects within large image datasets.

LangGraph Expense tracker is a small project that explores the possibilities of LangGraph. It allows users to send pictures of invoices, which are then structured and categorized into expenses and stored in a database. The project includes functionalities for invoice extraction, database setup, and API configuration. It consists of various modules for categorizing expenses, creating database tables, and running the API. The database schema includes tables for categories, payment methods, and expenses, each with specific columns to track transaction details. The API documentation is available for reference, and the project utilizes LangChain for processing expense data.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

Arbigent (Arbiter-Agent) is an AI agent testing framework designed to make AI agent testing practical for modern applications. It addresses challenges faced by traditional UI testing frameworks and AI agents by breaking down complex tasks into smaller, dependent scenarios. The framework is customizable for various AI providers, operating systems, and form factors, empowering users with extensive customization capabilities. Arbigent offers an intuitive UI for scenario creation and a powerful code interface for seamless test execution. It supports multiple form factors, optimizes UI for AI interaction, and is cost-effective by utilizing models like GPT-4o mini. With a flexible code interface and open-source nature, Arbigent aims to revolutionize AI agent testing in modern applications.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

Wealth Tracker is a personal finance management tool designed to help users track their income, expenses, and investments in one place. With intuitive features and customizable categories, users can easily monitor their financial health and make informed decisions. The tool provides detailed reports and visualizations to analyze spending patterns and set financial goals. Whether you are budgeting, saving for a big purchase, or planning for retirement, Wealth Tracker offers a comprehensive solution to manage your money effectively.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

Actual AI is a project designed to categorize uncategorized transactions for Actual Budget using OpenAI or OpenAI specification compatible API. It sends requests to the OpenAI API to classify transactions based on their description, amount, and notes. Transactions that cannot be classified are marked as 'not guessed' in notes. The tool allows users to sync accounts before classification and classify transactions on a cron schedule. Guessed transactions are marked in notes for easy review.

AI for Science paper collection is an initiative by AI for Science Community to collect and categorize papers in AI for Science areas by subjects, years, venues, and keywords. The repository contains `.csv` files with paper lists labeled by keys such as `Title`, `Conference`, `Type`, `Application`, `MLTech`, `OpenReviewLink`. It covers top conferences like ICML, NeurIPS, and ICLR. Volunteers can contribute by updating existing `.csv` files or adding new ones for uncovered conferences/years. The initiative aims to track the increasing trend of AI for Science papers and analyze trends in different applications.

This repo contains a comprehensive paper list of **Model Quantization** for efficient deep learning on AI conferences/journals/arXiv. As a highlight, we categorize the papers in terms of model structures and application scenarios, and label the quantization methods with keywords.

Build-your-own-AI-Assistant-Solution-Accelerator is a pre-release and preview solution that helps users create their own AI assistants. It leverages Azure Open AI Service, Azure AI Search, and Microsoft Fabric to identify, summarize, and categorize unstructured information. Users can easily find relevant articles and grants, generate grant applications, and export them as PDF or Word documents. The solution accelerator provides reusable architecture and code snippets for building AI assistants with enterprise data. It is designed for researchers looking to explore flu vaccine studies and grants to accelerate grant proposal submissions.

Evedel is an Emacs package designed to streamline the interaction with LLMs during programming. It aims to reduce manual code writing by creating detailed instruction annotations in the source files for LLM models. The tool leverages overlays to track instructions, categorize references with tags, and provide a seamless workflow for managing and processing directives. Evedel offers features like saving instruction overlays, complex query expressions for directives, and easy navigation through instruction overlays across all buffers. It is versatile and can be used in various types of buffers beyond just programming buffers.

This repository contains frontier research on explainable AI (XAI), a hot topic in the field of artificial intelligence. It includes trends, use cases, survey papers, books, open courses, papers, and Python libraries related to XAI. The repository aims to organize and categorize publications on XAI, provide evaluation methods, and list various Python libraries for explainable AI.

WilmerAI is a middleware system designed to process prompts before sending them to Large Language Models (LLMs). It categorizes prompts, routes them to appropriate workflows, and generates manageable prompts for local models. It acts as an intermediary between the user interface and LLM APIs, supporting multiple backend LLMs simultaneously. WilmerAI provides API endpoints compatible with OpenAI API, supports prompt templates, and offers flexible connections to various LLM APIs. The project is under heavy development and may contain bugs or incomplete code.

AI Toolkit is a collection of community created scripts that leverage AI to improve your life. It includes tools like AI CLI for generating terminal commands from natural language queries, AI Commit for generating commit messages using LLMs, and Research Assistant for researching and summarizing information from multiple sources.

This repository compiles a list of academic papers that evaluate, align, simulate, and provide surveys or perspectives on the use of Large Language Models (LLMs) in the field of Social Science. The papers cover various aspects of LLM research, including assessing their alignment with human values, evaluating their capabilities in tasks such as opinion formation and moral reasoning, and exploring their potential for simulating social interactions and addressing issues in diverse fields of Social Science. The repository aims to provide a comprehensive resource for researchers and practitioners interested in the intersection of LLMs and Social Science.

The 'awesome-local-llms' repository is a curated list of open-source tools for local Large Language Model (LLM) inference, covering both proprietary and open weights LLMs. The repository categorizes these tools into LLM inference backend engines, LLM front end UIs, and all-in-one desktop applications. It collects GitHub repository metrics as proxies for popularity and active maintenance. Contributions are encouraged, and users can suggest additional open-source repositories through the Issues section or by running a provided script to update the README and make a pull request. The repository aims to provide a comprehensive resource for exploring and utilizing local LLM tools.

Fastc is a tool focused on CPU execution, using efficient models for embedding generation and cosine similarity classification. It allows for efficient multi-classifier execution without extra overhead. Users can easily train text classifiers, export models, publish to HuggingFace, load existing models, make class predictions, use instruct templates, and launch an inference server. The tool provides an HTTP API for text classification with JSON payloads and supports multiple languages for language identification.

Awesome-LLM-in-Social-Science is a repository that compiles papers evaluating Large Language Models (LLMs) from a social science perspective. It includes papers on evaluating, aligning, and simulating LLMs, as well as enhancing tools in social science research. The repository categorizes papers based on their focus on attitudes, opinions, values, personality, morality, and more. It aims to contribute to discussions on the potential and challenges of using LLMs in social science research.

This repository is a collection of papers on Generative AI Machine Unlearning, categorized based on modality and applications. It includes datasets, benchmarks, and surveys related to unlearning scenarios in generative AI. The repository aims to provide a comprehensive overview of research in the field of machine unlearning for generative models.

BookeAI Assistant sorts bank transactions into merchants, categories, and confidence levels, tailored by client location and business type.

Extracts, categorizes, and organizes receipt data.

Analyzes and categorizes perfume data from Excel, or lists. Upload a file with your perfume names or just the names of your perfumes and this GPT will help you organize the information.

Comprehensive categorization and organization for AI Prompts

Expert in summarizing and categorizing

Coaches on Second Brain & PARA, focuses on information categorization.

Finds the right google_product_category for your XML feed.

Classifies articles into knowledge domains. source code: https://homun.posetmage.com/Agents/

Advanced, adaptive guide on exoplanets with dynamic categorization.

Organizo notas de sessões psicológicas em tópicos claros.

Sorts lists into alphabetical order.

I’ll tell you which Hogwarts house best fits your website

Get your daily horoscope summary, categorized and compiled from various online sources. For entertainment purposes only.

Aid in selecting Google Business categories for diverse small businesses.

A thoughtful quote generator for various categories. The beauty of knowledge is that it is boundless, illuminating the journey of discovery.

Upload your image, and our scribe instantly provides optimised keywords, titles, and categories in a CSV for Adobe Stock, Shutterstock and iStock. Simplify your workflow and elevate your portfolio effortlessly!

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