Best AI tools for< Data Entry Clerk >

The website is a simple web application for a counter built using Vue.js. It allows users to increment and reset a count displayed on the screen. The application is designed with a modern and visually appealing user interface, making it easy to use and interact with.

Kupiks is an automated email parsing tool designed to simplify data entry processes by extracting key information from emails such as customer inquiries, leads, invoices, and more. By automating the data entry process, Kupiks helps save valuable time and minimize errors for businesses. The tool provides a seamless solution for customer support, order management, and expense management, streamlining workflows and improving efficiency.

Dispute AI™ is a credit repair tool that simplifies the process of fixing credit and increasing credit scores. It offers features such as smart import of credit reports, AI-powered dispute creation, professional letter generation, and result tracking. Users can easily dispute accounts on all 3 credit bureaus without the need to hire a credit repair company. The tool aims to provide effective and efficient credit repair solutions to individuals seeking to improve their creditworthiness.

SpeechForms is an AI-powered application that revolutionizes the way forms are filled by enabling users to speak instead of typing. By leveraging voice recognition technology, SpeechForms allows users to effortlessly complete forms by simply talking, eliminating the need for manual data entry. Developed by Toggl ai, SpeechForms offers a seamless and efficient form-filling experience, making it a valuable tool for individuals and businesses looking to streamline their processes.

LedgerBox is an AI-powered document processing tool that leverages artificial intelligence and machine learning to automate the extraction of valuable data from various types of documents such as bank statements, invoices, and receipts. It helps businesses streamline operations, improve efficiency, and reduce human error by processing structured, semi-structured, and unstructured documents intelligently.

Receipt OCR API by ReceiptUp is an advanced tool for precise data extraction from receipt and invoice images. The API leverages OCR and AI technology to accurately extract total amounts, taxes, dates, and merchant information, streamlining financial operations. It supports over 50 languages, multiple image formats, and offers affordable pricing. Users can easily integrate the API into their software systems for efficient receipt management and enhanced business analytics.

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.

Parsio is an AI-powered document parser that can extract structured data from PDFs, emails, and other documents. It uses natural language processing to understand the context of the document and identify the relevant data points. Parsio can be used to automate a variety of tasks, such as extracting data from invoices, receipts, and emails.

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.

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.

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.

Quandri is a digital workforce solution that automates repetitive tasks for insurance brokerages and agencies. By leveraging advanced automation and AI, Quandri's digital workers can help businesses save time, reduce errors, and increase efficiency. Quandri's out-of-the-box digital workers can be deployed seamlessly into any agency or brokerage, and can be trained to perform a variety of tasks, including EDI processing, closing broker activities, eDoc processing, inbound lead management, and renewal reviews. With Quandri, businesses can free up their team's time to focus on more value-producing activities, such as building relationships with clients and growing their business.

PYQ is an AI-powered platform that helps businesses automate document-related tasks, such as data extraction, form filling, and system integration. It uses natural language processing (NLP) and machine learning (ML) to understand the content of documents and perform tasks accordingly. PYQ's platform is designed to be easy to use, with pre-built automations for common use cases. It also offers custom automation development services for more complex needs.

AlgoDocs is a powerful AI Platform developed based on the latest technologies to streamline your processes and free your team from annoying and error-prone manual data entry by offering fast, secure, and accurate document data extraction.

Autory is a bespoke automation solution provider that helps businesses automate repetitive and boring tasks. They work closely with clients to understand their specific needs and develop tailored solutions that deliver value where it's needed. Autory's mission is to free up businesses from mundane tasks so they can focus on more strategic initiatives.

Kili is an automation tool that allows users to automate repetitive tasks using natural language. It is designed to be easy to use, even for those who do not have any coding experience. Kili can be used to automate a wide variety of tasks, including data entry, customer service, and sales. It can also be integrated with a variety of business applications, making it a versatile tool for businesses of all sizes.

AIConvert is a web-based application that allows users to convert various types of files into different formats. It supports a wide range of file formats, including documents, images, videos, and audio files. AIConvert is easy to use and does not require any software installation. Users simply need to upload the file they want to convert and select the desired output format. AIConvert will then automatically convert the file and provide a download link.

JanitorAI is a revolutionary AI-powered tool that automates repetitive and time-consuming tasks, empowering businesses to streamline their operations and enhance productivity. With its advanced natural language processing and machine learning capabilities, JanitorAI seamlessly integrates with existing systems and applications, enabling users to automate a wide range of tasks, from data entry and email management to customer support and scheduling. By leveraging the power of AI, JanitorAI eliminates the need for manual labor, reduces errors, and frees up valuable time for employees to focus on more strategic initiatives.

GrabText is an online OCR tool that allows users to convert handwritten or printed text from photos, graphics, or documents into editable text. It uses ChatGPT to automatically correct spelling, grammar, and other illegal writings. The tool also supports math equations and offers flexible output options such as txt, latex, doc, and pdf.

Paal is an AI-powered platform that helps businesses automate their workflows and processes. It uses machine learning and natural language processing to understand the content of documents, extract data, and make decisions. Paal can be used to automate a variety of tasks, such as invoice processing, contract review, and customer support.

HeyLuna.ai is an AI-powered virtual assistant that helps you with a variety of tasks, from scheduling appointments to managing your finances. It is designed to be easy to use and can be accessed from any device.

Autotab is an AI-powered digital robot that can automate repetitive tasks on any website or web application. It is designed to help businesses save time and money by automating tasks such as data entry, web scraping, and social media management. Autotab is easy to use and can be set up in minutes. It is also very affordable, with plans starting at just $1 per hour.

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.

Autofillr is an AI-powered Chrome extension that automates form filling, making it accurate, secure, and effortless. It utilizes advanced AI technology to understand and learn the structure of web forms, enabling it to detect and fill out a wide variety of forms with precision. Autofillr goes beyond basic fields like names and addresses, aiming to make any form a one-click experience. It continuously enhances its technology to provide a streamlined and efficient online experience for users.

Picture to Text Converter is an online tool that uses Optical Character Recognition (OCR) technology to extract text from images. It can process various image formats like JPG, PNG, GIF, scanned documents (PDFs), and even photos taken with your phone's camera. The extracted text can be copied to the clipboard or downloaded as a TXT file. Picture to Text Converter is free to use and does not require any registration or installation. It is a convenient and efficient way to convert images into editable text.

TextMine is an AI-powered knowledge base that helps businesses analyze, manage, and search thousands of documents. It uses AI to analyze unstructured textual data and document databases, automatically retrieving key terms to help users make informed decisions. TextMine's features include a document vault for storing and managing documents, a categorization system for organizing documents, and a data extraction tool for extracting insights from documents. TextMine can help businesses save time, money, and improve efficiency by automating manual data entry and information retrieval tasks.

ASSIST is an AI-driven document management software designed to streamline financial paperwork processing and data entry tasks. The application offers features such as SmartDoc Entry for extracting information from invoices and receipts, Polyglot Processing for multilingual support, One-Tap Integration with accounting platforms, ExportEase for data export in CSV format, and AutoFlow Revolution for automated workflows. ASSIST aims to simplify document management, enhance efficiency, and drive digital transformation in businesses by leveraging AI technology.

Docamine is an AI-powered platform designed to streamline the document filling process. Users can easily upload PDF documents or images, edit and review AI-created fields, update missing information, add references, upload supporting documents, and autofill/update forms. The platform also allows users to draw their signature, download the filled-out PDF, and add profiles for other people. With AI capabilities, Docamine continuously learns to provide better results over time, making document management more efficient and accurate.

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.

BlinkID iOS is a mobile SDK that enables developers to easily integrate ID scanning and data extraction capabilities into their iOS applications. The SDK supports scanning and processing various types of identity documents, such as passports, driver's licenses, and ID cards. It provides accurate and fast data extraction, including personal information and document details. With BlinkID iOS, developers can enhance their apps with secure and reliable ID verification functionality, improving user experience and streamlining identity verification processes.

Concierge is a versatile automation tool designed to streamline repetitive tasks and workflows. It provides a user-friendly interface for creating custom automation scripts without the need for extensive coding knowledge. With Concierge, users can automate various tasks across different platforms and applications, increasing efficiency and productivity. The tool offers a wide range of pre-built automation templates and allows users to customize and schedule their automation processes. Concierge is suitable for individuals and businesses looking to automate routine tasks and improve overall workflow efficiency.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

Awesome LLM Strawberry is a collection of research papers and blogs related to OpenAI Strawberry(o1) and Reasoning. The repository is continuously updated to track the frontier of LLM Reasoning.

OlympicArena is a comprehensive benchmark designed to evaluate advanced AI capabilities across various disciplines. It aims to push AI towards superintelligence by tackling complex challenges in science and beyond. The repository provides detailed data for different disciplines, allows users to run inference and evaluation locally, and offers a submission platform for testing models on the test set. Additionally, it includes an annotation interface and encourages users to cite their paper if they find the code or dataset helpful.

TagUI is an open-source RPA tool that allows users to automate repetitive tasks on their computer, including tasks on websites, desktop apps, and the command line. It supports multiple languages and offers features like interacting with identifiers, automating data collection, moving data between TagUI and Excel, and sending Telegram notifications. Users can create RPA robots using MS Office Plug-ins or text editors, run TagUI on the cloud, and integrate with other RPA tools. TagUI prioritizes enterprise security by running on users' computers and not storing data. It offers detailed logs, enterprise installation guides, and support for centralised reporting.

Basdonax AI RAG v1.0 is a repository that contains all the necessary resources to create your own AI-powered secretary using the RAG from Basdonax AI. It leverages open-source models from Meta and Microsoft, namely 'Llama3-7b' and 'Phi3-4b', allowing users to upload documents and make queries. This tool aims to simplify life for individuals by harnessing the power of AI. The installation process involves choosing between different data models based on GPU capabilities, setting up Docker, pulling the desired model, and customizing the assistant prompt file. Once installed, users can access the RAG through a local link and enjoy its functionalities.

Fuji-Web is an intelligent AI partner designed for full browser automation. It autonomously navigates websites and performs tasks on behalf of the user while providing explanations for each action step. Users can easily install the extension in their browser, access the Fuji icon to input tasks, and interact with the tool to streamline web browsing tasks. The tool aims to enhance user productivity by automating repetitive web actions and providing a seamless browsing experience.

Clickolas-cage is a Chrome extension designed to autonomously perform web browsing actions to achieve specific goals using LLM as a brain. Users can interact with the extension by setting goals, which triggers a series of actions including navigation, element extraction, and step generation. The extension is developed using Node.js and can be locally run for testing and development purposes before packing it for submission to the Chrome Web Store.

Tiny LLM zh is a project aimed at building a small-parameter Chinese language large model for quick entry into learning large model-related knowledge. The project implements a two-stage training process for large models and subsequent human alignment, including tokenization, pre-training, instruction fine-tuning, human alignment, evaluation, and deployment. It is deployed on ModeScope Tiny LLM website and features open access to all data and code, including pre-training data and tokenizer. The project trains a tokenizer using 10GB of Chinese encyclopedia text to build a Tiny LLM vocabulary. It supports training with Transformers deepspeed, multiple machine and card support, and Zero optimization techniques. The project has three main branches: llama2_torch, main tiny_llm, and tiny_llm_moe, each with specific modifications and features.

llm-analysis is a tool designed for Latency and Memory Analysis of Transformer Models for Training and Inference. It automates the calculation of training or inference latency and memory usage for Large Language Models (LLMs) or Transformers based on specified model, GPU, data type, and parallelism configurations. The tool helps users to experiment with different setups theoretically, understand system performance, and optimize training/inference scenarios. It supports various parallelism schemes, communication methods, activation recomputation options, data types, and fine-tuning strategies. Users can integrate llm-analysis in their code using the `LLMAnalysis` class or use the provided entry point functions for command line interface. The tool provides lower-bound estimations of memory usage and latency, and aims to assist in achieving feasible and optimal setups for training or inference.

A Python interface for creating battling Pokemon agents, 'poke-env' allows users to develop rule-based or Reinforcement Learning bots to battle on Pokemon Showdown. The tool provides an easy-to-use interface for agent creation and offers documentation, examples, and starting code for beginners. Users can install 'poke-env' via pip and set up a development server for testing. The project is inspired by an artificial intelligence class project and relies on data from Smogon forums' RMT section. It is licensed under MIT and can be cited using a provided BibTeX entry.

SheetCopilot is an assistant agent that manipulates spreadsheets by following user commands. It leverages Large Language Models (LLMs) to interact with spreadsheets like a human expert, enabling non-expert users to complete tasks on complex software such as Google Sheets and Excel via a language interface. The tool observes spreadsheet states, polishes generated solutions based on external action documents and error feedback, and aims to improve success rate and efficiency. SheetCopilot offers a dataset with diverse task categories and operations, supporting operations like entry & manipulation, management, formatting, charts, and pivot tables. Users can interact with SheetCopilot in Excel or Google Sheets, executing tasks like calculating revenue, creating pivot tables, and plotting charts. The tool's evaluation includes performance comparisons with leading LLMs and VBA-based methods on specific datasets, showcasing its capabilities in controlling various aspects of a spreadsheet.

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.

db-ally is a library for creating natural language interfaces to data sources. It allows developers to outline specific use cases for a large language model (LLM) to handle, detailing the desired data format and the possible operations to fetch this data. db-ally effectively shields the complexity of the underlying data source from the model, presenting only the essential information needed for solving the specific use cases. Instead of generating arbitrary SQL, the model is asked to generate responses in a simplified query language.

SuperKnowa is a fast framework to build Enterprise RAG (Retriever Augmented Generation) Pipelines at Scale, powered by watsonx. It accelerates Enterprise Generative AI applications to get prod-ready solutions quickly on private data. The framework provides pluggable components for tackling various Generative AI use cases using Large Language Models (LLMs), allowing users to assemble building blocks to address challenges in AI-driven text generation. SuperKnowa is battle-tested from 1M to 200M private knowledge base & scaled to billions of retriever tokens.

ReductStore is a high-performance time series database designed for storing and managing large amounts of unstructured blob data. It offers features such as real-time querying, batching data, and HTTP(S) API for edge computing, computer vision, and IoT applications. The database ensures data integrity, implements retention policies, and provides efficient data access, making it a cost-effective solution for applications requiring unstructured data storage and access at specific time intervals.

This repository contains a collection of AI projects covering various areas of machine learning. Each project is accompanied by detailed articles on the associated blog sciblog. Projects range from introductory topics like Convolutional Neural Networks and Transfer Learning to advanced topics like Fraud Detection and Recommendation Systems. The repository also includes tutorials on data generation, distributed training, natural language processing, and time series forecasting. Additionally, it features visualization projects such as football match visualization using Datashader.

This repository codifies the Airflow cluster that is deployed at workflow.telemetry.mozilla.org (behind SSO) and commonly referred to as "WTMO" or simply "Airflow". Some links relevant to users and developers of WTMO: * The `dags` directory in this repository contains some custom DAG definitions * Many of the DAGs registered with WTMO don't live in this repository, but are instead generated from ETL task definitions in bigquery-etl * The Data SRE team maintains a WTMO Developer Guide (behind SSO)

LlamaIndex.TS is a data framework for your LLM application. Use your own data with large language models (LLMs, OpenAI ChatGPT and others) in Typescript and Javascript.

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Ensures accurate, efficient data input for organizational operations.

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The main objective of a personalized ChatGPT for reading laboratory tests is to evaluate laboratory test results and create a spreadsheet with the evaluation results and possible solutions.

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Extract from receipts to CSV: Date of Purchase, Item Purchased, Quantity Purchased, Units