Best AI tools for< Process Credit Notes >

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.

AI Credit Repair is an AI-powered application designed to help users improve their credit score by providing tools such as credit card utilization builder, public records remover, dispute letter generator, and SMS alerts. The application assists users in managing their credit card payments, disputing collections, and staying on top of their credit-related activities. By leveraging artificial intelligence technology, AI Credit Repair aims to simplify the credit repair process and empower users to build a better financial future.

Underwrite.ai is a platform that leverages advances in artificial intelligence and machine learning to provide lenders with nonlinear, dynamic models of credit risk. By analyzing thousands of data points from credit bureau sources, the application accurately models credit risk for consumers and small businesses, outperforming traditional approaches. Underwrite.ai offers a unique underwriting methodology that focuses on outcomes such as profitability and customer lifetime value, allowing organizations to enhance their lending performance without the need for capital investment or lengthy build times. The platform's models are continuously learning and adapting to market changes in real-time, providing explainable decisions in milliseconds.

Tolgee is a smart platform for painless localization, offering fast integration and dev tools for translation assistance, autonomous translation, and collaboration. It supports in-context translating, translation memory, machine translations, auto translation, and activity log features. Tolgee is used by 8500+ users worldwide and provides integrations for all major JS frameworks.

Dispute AI™ is a credit repair application that leverages Artificial Intelligence to help users fix their credit and increase their credit scores. It simplifies the process of disputing accounts on all three credit bureaus by automatically importing credit reports, identifying harmful accounts, generating effective dispute letters, and tracking results. With Dispute AI™, users can avoid the need to hire expensive credit repair companies and take control of their credit repair journey. The application has received positive feedback from users who have seen significant improvements in their credit scores.

SmartDispute.ai is an AI-powered credit repair application that helps users improve their credit scores by leveraging artificial intelligence technology. The application offers a patented Smart Dispute System™ technology that identifies and helps remove negative accounts from credit reports, making it one of the most effective credit repair systems available. Users can easily repair their own credit with the help of SmartDispute.ai's automated processes and fact-based dispute method. The application provides users with a simple and clearly explained process, allowing them to track their progress and see significant improvements in their credit scores over time.

8VDX is an AI application that offers fine-tuned AI models for credit funds, empowering users to make data-driven decisions in the realm of credit investing. The platform enhances speed, accuracy, and strategic depth across various financial instruments like bonds, private credit, and CLOs. By leveraging AI technology, 8VDX streamlines the investment analysis process, automates bond screening, and provides continuous learning from surveillance to optimize investment strategies.

UXSquid is a comprehensive UX research software platform and tool that guides users through the user research process with interview question examples, plans, templates, and a cheat sheet. It offers a free trial, requires no credit card, and allows users to cancel anytime. UXSquid's platform makes it easy to conduct user interviews and gather feedback. Users can use its automation tools to set up interviews with their target audience and gather valuable information. UXSquid analyzes user experiences and interactions with a company using cutting-edge artificial intelligence. It then makes important suggestions and enhancements to improve a product for its users.

Superbooking.ai is an AI-powered platform revolutionizing bookings for businesses and consumers. It offers a comprehensive solution for scheduling and managing a variety of beauty services, providing tailor-made, personalized services. The platform integrates Web2 and Web3 functionalities to ensure a seamless and trustworthy booking experience, leveraging the benefits of both worlds. With advanced tools and AI capabilities, Superbooking.ai aims to empower businesses and consumers alike in managing appointments and transactions effortlessly.

Interviewer.AI is an end-to-end AI video interview platform that leverages Generative AI and Explainable AI to automate job descriptions, craft relevant interview questions, pre-screen and shortlist candidates. It significantly reduces time spent on pre-interviews, providing a comprehensive evaluation of potential candidates' psychological and technical factors. The platform is designed to streamline recruitment processes, optimize efficiency, and enhance the ability to find the perfect fit for teams.

FinFloh is an AI-powered Accounts Receivable Software that automates the accounts receivable process effortlessly with features like credit decisioning, collections, cash application, invoice verification, and dispute resolution. It enhances collections efficiency, reduces decision-making time, and improves cash flows for B2B finance teams worldwide. The software integrates with ERP/CRM systems, offers predictive analytics, and AI-driven credit scoring to optimize accounts receivable management. FinFloh ensures secure data handling and seamless communication between finance, sales, and customer support teams, ultimately leading to increased cash flow and reduced DSO.

Erase.bg is an AI-powered tool that automatically removes image backgrounds in a matter of seconds. It supports various image formats, including PNG, JPG, JPEG, WEBP, and HEIC, and can process images with a maximum resolution of 5000 x 5000 px and a file size of up to 25 MB. Erase.bg offers both free and paid subscription plans, with the free plan allowing users to process images for personal use. The tool is accessible through a user-friendly website and mobile applications for iOS and Android devices.

Evolup is an AI-powered platform dedicated to creating affiliate stores effortlessly. It offers a comprehensive solution for individuals and businesses to turn their passions into profits by showcasing products they are passionate about on their affiliate sites. With state-of-the-art tools like powerful artificial intelligence, Amazon synchronization, and advanced SEO features, Evolup simplifies the process of building and managing affiliate stores, saving time and costs for users. The platform provides a user-friendly interface, automatic updates, and seamless integration with Amazon Affiliate program, making it an exceptional choice for those looking to maximize commissions and boost productivity in affiliate marketing.

Casca is a next-generation loan origination system that enables banks, credit unions, and non-bank lenders to originate commercial loans with significantly less manual effort. With features like AI loan assistant, automated tasks, and digital approvals, Casca aims to revolutionize the small business lending process. The platform helps in improving lead quality, increasing conversion rates, saving time for loan officers, and streamlining the loan origination process. Casca leverages AI technology to provide a modern user experience and personalized follow-ups, making the loan application process more efficient and magical.

Paymefy is an AI-powered debt collection optimization tool that helps businesses recover outstanding payments faster and at a lower cost. By leveraging Artificial Intelligence, Paymefy automates the debt collection process, offers on-click payment solutions, and provides smart notification sequences to enhance customer communication. The tool enables easy customization, multi-invoice payments, installment options, and feedback collection to streamline the debt recovery process. With a focus on efficiency and cost reduction, Paymefy aims to improve debt collection outcomes and customer payment experiences.

Boast is an AI-driven platform that simplifies the process of claiming R&D tax credits for companies in Canada and the US. By combining technical expertise with AI technology, Boast helps businesses maximize their returns by identifying and claiming eligible innovation funding opportunities. The platform offers complete transparency and control, ensuring that users are well-informed at every step of the claim process. Boast has successfully helped over 1000 companies across North America to secure higher R&D tax credit claims with less effort and peace of mind.

Gynger is an AI-powered payments platform with embedded financing designed for buyers and sellers of technology. It provides a line of credit and debt financing to help businesses pay their software and technology bills upfront while paying back later. Gynger simplifies the procurement process, improves cash flow, and offers flexible payment plans for tech expenses.

CreateAiCourse is an AI-powered online course creator tool that allows users to generate entire courses in minutes. It simplifies the course creation process by providing interactive courses at users' fingertips. With advanced AI tools, both beginners and experts can quickly create high-quality courses that engage students. The platform offers features like AI course generation, quiz generation, white-labeling, AI brain for course outline creation, bonus marketing tasks, and seamless course creation. Users can customize and sell courses without any mention or credit to the platform. CreateAiCourse streamlines the course creation process and enables users to start selling courses faster.

Fliki is an AI-powered platform that allows users to easily turn text into videos with lifelike AI voices. It features a script-based editor for creating videos, lifelike voiceovers, dynamic AI video clips, and various AI-powered tools. Users can start for free without the need for a credit card. Fliki has been designed to simplify the video creation process and offers a seamless workflow for impactful content creation across various use cases.

Unifire.ai is an AI-powered content repurposing tool that allows users to create content 10 times faster by transforming audio, text, and video content into various formats such as Tweets, LinkedIn posts, newsletters, and blog posts. The tool is trained on the user's tone and style, providing unique and personalized content. Unifire automates the content generation process, from transcription to final content creation, enabling users to scale their existing content without starting from scratch. It offers collaborative editing features, content templates, and a credit-based pricing system for cost-effective usage.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

Smart Connections is an AI-powered plugin for Obsidian that helps you discover hidden connections and insights in your notes. With features like Smart View for real-time relevant note suggestions and Smart Chat for chatting with your notes, Smart Connections makes it easier than ever to stay organized and uncover hidden connections between your notes. Its intuitive interface and customizable settings ensure a seamless experience, tailored to your unique needs and preferences.

Aria is a Zotero plugin that serves as an AI Research Assistant powered by Large Language Models (LLMs). It offers features like drag-and-drop referencing, autocompletion for creators and tags, visual analysis using GPT-4 Vision, and saving chats as notes and annotations. Aria requires the OpenAI GPT-4 model family and provides a configurable interface through preferences. Users can install Aria by downloading the latest release from GitHub and activating it in Zotero. The tool allows users to interact with Zotero library through conversational AI and probabilistic models, with the ability to troubleshoot errors and provide feedback for improvement.

AIL framework is a modular framework to analyze potential information leaks from unstructured data sources like pastes from Pastebin or similar services or unstructured data streams. AIL framework is flexible and can be extended to support other functionalities to mine or process sensitive information (e.g. data leak prevention).

AIL framework is a modular framework to analyze potential information leaks from unstructured data sources like pastes from Pastebin or similar services or unstructured data streams. AIL framework is flexible and can be extended to support other functionalities to mine or process sensitive information (e.g. data leak prevention).

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.

llm-swarm is a tool designed to manage scalable open LLM inference endpoints in Slurm clusters. It allows users to generate synthetic datasets for pretraining or fine-tuning using local LLMs or Inference Endpoints on the Hugging Face Hub. The tool integrates with huggingface/text-generation-inference and vLLM to generate text at scale. It manages inference endpoint lifetime by automatically spinning up instances via `sbatch`, checking if they are created or connected, performing the generation job, and auto-terminating the inference endpoints to prevent idling. Additionally, it provides load balancing between multiple endpoints using a simple nginx docker for scalability. Users can create slurm files based on default configurations and inspect logs for further analysis. For users without a Slurm cluster, hosted inference endpoints are available for testing with usage limits based on registration status.

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.

A curated list of Generative AI projects, tools, artworks, and models

VedAstro is an open-source Vedic astrology tool that provides accurate astrological predictions and data. It offers a user-friendly website, a chat API, an open API, a JavaScript SDK, a Swiss Ephemeris API, and a machine learning table generator. VedAstro is free to use and is constantly being updated with new features and improvements.

Iceburg CRM is a metadata driven CRM with AI abilities that allows users to quickly prototype any CRM. It offers features like metadata creations, import/export in multiple formats, field validation, themes, role permissions, calendar, audit logs, API, workflow, field level relationships, module level relationships, and more. Created with Vue 3 for the frontend, Laravel 10 for the backend, Tailwinds with DaisyUI plugin, and Inertia for routing. Users can install default, admin panel, core, custom, or AI versions. The tool supports AI Assist for module data suggestions and provides API endpoints for CRM modules, search, specific module data, record updates, and deletions. Iceburg CRM also includes themes, custom field types, calendar, datalets, workflow, roles and permissions, import/export functionality, and custom seeding options.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

GPT-Subtrans is an open-source subtitle translator that utilizes large language models (LLMs) as translation services. It supports translation between any language pairs that the language model supports. Note that GPT-Subtrans requires an active internet connection, as subtitles are sent to the provider's servers for translation, and their privacy policy applies.

LinkedIn_AIHawk is an automated tool designed to revolutionize the job search and application process on LinkedIn. It leverages automation and artificial intelligence to efficiently apply to relevant positions, personalize responses, manage application volume, filter listings, generate dynamic resumes, and handle sensitive information securely. The tool aims to save time, increase application relevance, and enhance job search effectiveness in today's competitive landscape.

AI-Driven Research Assistant is an advanced AI-powered system utilizing specialized agents for data analysis, visualization, and report generation. It integrates LangChain, OpenAI's GPT models, and LangGraph for complex research processes. Key features include hypothesis generation, data processing, web search, code generation, and report writing. The system's unique Note Taker agent maintains project state, reducing overhead and improving context retention. System requirements include Python 3.10+ and Jupyter Notebook environment. Installation involves cloning the repository, setting up a Conda virtual environment, installing dependencies, and configuring environment variables. Usage instructions include setting data, running Jupyter Notebook, customizing research tasks, and viewing results. Main components include agents for hypothesis generation, process supervision, visualization, code writing, search, report writing, quality review, and note-taking. Workflow involves hypothesis generation, processing, quality review, and revision. Customization is possible by modifying agent creation and workflow definition. Current issues include OpenAI errors, NoteTaker efficiency, runtime optimization, and refiner improvement. Contributions via pull requests are welcome under the MIT License.

Auto_Jobs_Applier_AIHawk is an AI-powered job search assistant that revolutionizes the job search and application process. It automates application submissions, provides personalized recommendations, and enhances the chances of landing a dream job. The tool offers features like intelligent job search automation, rapid application submission, AI-powered personalization, volume management with quality, intelligent filtering, dynamic resume generation, and secure data handling. It aims to address the challenges of modern job hunting by saving time, increasing efficiency, and improving application quality.

VideoLingo is an all-in-one video translation and localization dubbing tool designed to generate Netflix-level high-quality subtitles. It aims to eliminate stiff machine translation, multiple lines of subtitles, and can even add high-quality dubbing, allowing knowledge from around the world to be shared across language barriers. Through an intuitive Streamlit web interface, the entire process from video link to embedded high-quality bilingual subtitles and even dubbing can be completed with just two clicks, easily creating Netflix-quality localized videos. Key features and functions include using yt-dlp to download videos from Youtube links, using WhisperX for word-level timeline subtitle recognition, using NLP and GPT for subtitle segmentation based on sentence meaning, summarizing intelligent term knowledge base with GPT for context-aware translation, three-step direct translation, reflection, and free translation to eliminate strange machine translation, checking single-line subtitle length and translation quality according to Netflix standards, using GPT-SoVITS for high-quality aligned dubbing, and integrating package for one-click startup and one-click output in streamlit.

Discusses fast loans, application processes, and financial considerations informatively.

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Friendly process engineer for Coda.io

Guides clear BPMN process design with ASCII art

Optimizes production processes for improved efficiency and quality.

Optimizes business operations through process enhancements.

Optimizes production processes for efficient large-scale operations.

Improves operational efficiency by optimizing processes and reducing waste.

Discover Process Talks: Your Next Investment!

Optimizes manufacturing processes for efficiency and quality.

Emulating Whitehead's insights on 'Process and Reality'

Process Documentation for serving GPTs.

Trademark Process Assistant, Not an Attorney & Definitely Not Legal Advice (independently verify info received). Gain insights on U.S. trademark process & concepts, USPTO resources, application steps & more - all while being reminded of the importance of consulting legal pros 4 specific guidance.

Structured process for prioritizing marketing tasks based on strategic alignment. Outputs in Eisenhower, RACI and other methodologies.

Assists in the caregiving process for seniors.

Guides future parents through the adoption process with empathy and information.

Insurance providers collect and process personal health, financial, and property information, making it crucial to implement comprehensive data protection strategies.

Formal SBIR process expert for Air Force/Space Force

To streamline the process of creating scripts for Brut-style videos by providing structured guidance in researching, strategizing, and writing, ensuring the final script is rich in content and visually captivating.

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