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Software Documentation Tools
Software documentation tools are designed to help developers and technical writers create, manage, and share documentation related to software applications. These tools facilitate the writing of user guides, API references, installation instructions, and other types of technical content. They often include features like version control, templates, collaborative editing, and integration with code repositories to streamline the documentation process. Some popular tools offer support for various output formats, such as HTML, PDF, and Markdown, making it easier to distribute documentation to different audiences. By using these tools, teams can ensure that their documentation remains accurate, up-to-date, and accessible throughout the software development lifecycle.
Document Management Software
Document management software is a type of software that helps organizations manage their documents. It allows users to store, index, retrieve and manipulate digital files, as well as organize them in ways that make sense for the organization. Document management software can help an organization keep track of versions and revisions, ensuring the most up-to-date documents are being used. Different document management systems offer different features, so it is important to research which one will best suit the needs of the organization.
Document Generation Software
Document generation software automates the creation of documents, typically by merging data from various sources into predefined templates. It is commonly used to generate reports, contracts, invoices, or proposals with minimal manual effort. The software enables users to define document structures, integrate dynamic fields, and ensure consistent formatting across multiple documents. With features like batch processing and integration with databases or CRM systems, document generation tools can handle large volumes of documents efficiently. This automation reduces errors, speeds up workflows, and ensures that generated documents meet organizational standards.
Document Control Software
Document control software is designed to manage and track documents throughout their lifecycle, ensuring that they are properly stored, organized, and accessible. It provides features like version control, audit trails, and access permissions to maintain document integrity and security. This software helps organizations maintain compliance with industry standards and regulations by ensuring documents are updated and reviewed in a controlled manner. It also facilitates the efficient sharing and retrieval of documents, reducing the risk of errors or outdated information being used. By centralizing document management, document control software streamlines workflows and improves collaboration while minimizing risks associated with document mismanagement.
Document Collaboration Software
Document collaboration software allows multiple users to work on the same document simultaneously, facilitating real-time editing, commenting, and version control. It is designed to enhance teamwork by providing features like access control, activity tracking, and notifications to keep all contributors aligned. These tools often include cloud storage for easy sharing and retrieval, ensuring that documents are accessible from anywhere. Integration with other productivity tools is common, streamlining workflows and improving overall efficiency. By enabling efficient collaboration, document collaboration software improves communication and coordination within teams.
Document Collection Software
Document collection software enables organizations to collect documents from customers and clients. Document collection software streamlines and manages the process of collecting documents.
Document Scanner Software
Document scanner apps are software applications that enable users to scan documents using a device such as a smartphone, tablet, or computer. Document scanning software and apps can scan documents and save them as various file types. Some document scanners come equipped with optical character recognition (OCR) functionality and/or AI that allows for natural language understanding and intelligent document processing and indexing.
Legal Document Management Software
Legal document management software is software that helps law firms, corporate legal departments, and legal professionals organize, store, and manage legal documents efficiently. It provides features such as secure cloud storage, version control, access permissions, and document indexing to streamline legal workflows. Advanced solutions often include OCR (Optical Character Recognition) for searchable PDFs, integration with case management systems, and automation for contract lifecycle management. Compliance and security features ensure adherence to legal regulations like GDPR, HIPAA, or industry-specific guidelines. By reducing manual paperwork and improving collaboration, legal document management software enhances productivity and minimizes risks associated with document handling.
Document Version Control Software
Document version control software is designed to track and manage changes made to documents over time, ensuring that all revisions are properly recorded and organized. It allows users to store multiple versions of a document, making it easy to view, compare, and restore previous versions if needed. The software typically includes features like automated version tracking, timestamps, and user identification to provide a clear history of document edits. By managing versions efficiently, it helps prevent conflicts or errors from outdated or conflicting document versions. This type of software is essential for maintaining accuracy, transparency, and collaboration, especially in environments with frequent document updates and multiple contributors.
IT Documentation Software
IT documentation software is software that enables organizations to create, manage, and organize technical documentation related to their IT systems and infrastructure. It enables users to document processes, configurations, troubleshooting steps, and other essential IT information in a centralized and easily accessible platform. The software often includes collaboration features, version control, and search functionalities to ensure that teams can efficiently update and retrieve documentation. By providing templates and automation options, it simplifies the creation of consistent, accurate, and up-to-date IT documentation. This software improves efficiency, reduces downtime, and ensures that critical IT knowledge is available to support staff and teams.
API Documentation Tools
API documentation tools are software tools that help developers create, maintain, and publish documentation for their Application Programming Interfaces (APIs). These tools streamline the process of explaining how to use an API, providing code examples, and outlining endpoints, parameters, and response formats. Many API documentation tools automatically generate docs from the codebase or integrate with frameworks to keep documentation up to date with API changes. They often include interactive features, like live testing or sandbox environments, allowing developers to experiment with API requests directly from the documentation. Ultimately, these tools improve the developer experience by making it easier to understand and use APIs effectively.
Process Documentation Software
Process documentation software is designed to assist businesses in the organization and storage of their company's procedures. It provides a digital platform to store, organize, and share step-by-step instructions for any task or project. Process documentation software helps streamline existing processes with easily accessible data that can be referenced quickly. This type of software ensures that all employees are on the same page by providing clear procedural guidelines so everyone is working from the same source of information. Finally, process documentation software provides an efficient way for businesses to keep accurate records of their internal activities over time without having to manually enter data into written documents.
Document Workflow Software
Document workflow software is software designed to streamline the process of creating, editing, and sharing documents within an organization. It typically includes features such as document management, version control, and collaboration capabilities. This software can be used by teams of any size and allows for efficient communication and tracking of document progress. Many businesses find this type of software beneficial in increasing productivity and reducing errors in document processing. Overall, document workflow software offers a centralized platform for managing documents throughout their entire lifecycle.
Document Databases
Document databases are a type of NoSQL database designed to store, manage, and retrieve semi-structured data in the form of documents, typically using formats like JSON, BSON, or XML. Unlike traditional relational databases, document databases do not require a fixed schema, allowing for greater flexibility in handling diverse and evolving data structures. Each document in the database can contain different fields and data types, making it ideal for applications where data is complex and varied. These databases excel at scaling horizontally, making them well-suited for handling large volumes of data across distributed systems. Document databases are commonly used in modern web and mobile applications, where they provide efficient storage and fast access to rich, nested data structures.
Clinical Documentation Software
Clinical documentation software is designed to streamline the process of capturing, storing, and managing patient health information in a digital format. It allows healthcare professionals to input data such as patient histories, diagnoses, treatments, and progress notes, improving accuracy and efficiency. These systems are often integrated with electronic health records (EHR) to provide seamless access to comprehensive patient data. By digitizing clinical records, the software also enhances collaboration between care teams and supports compliance with regulatory standards like HIPAA. Ultimately, clinical documentation software helps improve patient care quality and reduces administrative burden for healthcare providers.
Document Automation Software
Document automation software is a type of software designed to help automate the creation, management, and distribution of documents. It can be used for a variety of different document types, from simple text documents to complex forms and reports. Document automation tools often include features such as automated data capture, template creation and management, workflow integrations and more. The goal of document automation software is to simplify document processes by removing the manual steps needed in typical document creation processes. Additionally, document automation tools can offer benefits such as faster processing times and improved accuracy due to fewer errors or omissions caused by manual entry and proofreading processes.
Document Parsers Software
Document parsers are tools that extract, interpret, and structure information from documents like PDFs, Word files, and scanned images. They use techniques such as natural language processing (NLP), optical character recognition (OCR), and machine learning to improve accuracy across diverse document types. Modern systems often incorporate retrieval-augmented generation (RAG), which combines data extraction with AI-driven question-answering for smarter, context-aware outputs.
Restoration Documentation Software
Restoration documentation software is designed to streamline and organize the process of documenting restoration projects, particularly in fields like construction, disaster recovery, and historical preservation. It allows professionals to capture detailed information about the restoration process, including photographs, materials used, timelines, and costs, ensuring thorough and accurate records. The software often features customizable templates, checklists, and reporting tools to enhance workflow efficiency and compliance with industry standards. It can also integrate with other software tools like project management and accounting systems for seamless project tracking.
File and Document Comparison Software
File and document comparison software enables users to compare the difference between two or more files or documents. File comparison tools can detect differences between files such as images, code, PDFs, media files, and more. Document comparison tools can detect the differences between two or more documents.
Intelligent Document Processing Software
Intelligent document processing (IDP) software uses artificial intelligence (AI) and machine learning (ML) to automate the extraction, classification, and processing of data from various types of documents, such as invoices, contracts, forms, and receipts. These platforms typically leverage optical character recognition (OCR) technology, natural language processing (NLP), and pattern recognition to understand and extract relevant data from unstructured content. IDP software helps businesses reduce manual data entry, improve accuracy, streamline workflows, and ensure compliance by automating document-related tasks. By using this software, organizations can save time, increase productivity, and enhance document processing efficiency.
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  • 1
    DataMelt

    DataMelt

    jWork.ORG

    DataMelt (or "DMelt") is an environment for numeric computation, data analysis, data mining, computational statistics, and data visualization. DataMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Neural networks and various data-manipulation methods are integrated...
    Starting Price: $0
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  • 2
    DeepPy

    DeepPy

    DeepPy

    DeepPy is a MIT licensed deep learning framework. DeepPy tries to add a touch of zen to deep learning as it. DeepPy relies on CUDArray for most of its calculations. Therefore, you must first install CUDArray. Note that you can choose to install CUDArray without the CUDA back-end which simplifies the installation process.
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  • 3
    Keras

    Keras

    Keras

    Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It also has extensive documentation and developer guides. Keras is the most used deep learning framework among top-5 winning teams on Kaggle. Because Keras makes it easier to run new experiments, it empowers you to try more...
    2 Ratings
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  • 4
    Caffe

    Caffe

    BAIR

    Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo! Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by...
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  • 5
    Microsoft Cognitive Toolkit
    The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph. CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs) and recurrent neural networks (RNNs/LSTMs). CNTK implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and...
    3 Ratings
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  • 6
    Supervisely

    Supervisely

    Supervisely

    The leading platform for entire computer vision lifecycle. Iterate from image annotation to accurate neural networks 10x faster. With our best-in-class data labeling tools transform your images / videos / 3d point cloud into high-quality training data. Train your models, track experiments, visualize and continuously improve model predictions, build custom solution within the single environment. Our self-hosted solution guaranties data privacy, powerful customization capabilities, and easy...
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  • 7
    Neuton AutoML

    Neuton AutoML

    Neuton.AI

    Neuton, a no-code AutoML solution, makes Machine Learning available to everyone. Explore data insights and make predictions leveraging Automated Artificial Intelligence. • NO coding • NO need for technical skills • NO need for data science knowledge Neuton provides comprehensive Explainability Office©, a unique set of tools that allow users to evaluate model quality at every stage, identify the logic behind the model analysis, understand why certain predictions have been made. •...
    Starting Price: $0
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  • 8
    TFLearn

    TFLearn

    TFLearn

    TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed up experimentations while remaining fully transparent and compatible with it. Easy-to-use and understand high-level API for implementing deep neural networks, with tutorial and examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, metrics. Full transparency over...
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  • 9
    Chainer

    Chainer

    Chainer

    A powerful, flexible, and intuitive framework for neural networks. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort. Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures. Forward computation can include any control flow statements of Python without lacking the ability of backpropagation. It...
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  • 10
    ConvNetJS

    ConvNetJS

    ConvNetJS

    ConvNetJS is a Javascript library for training deep learning models (neural networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. The library allows you to formulate and solve neural networks in Javascript, and was originally written by @karpathy. However, the library has since been extended by contributions from the community and more are warmly welcome. The fastest way to obtain the library in a...
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  • 11
    Deeplearning4j

    Deeplearning4j

    Deeplearning4j

    DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance. The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Konduit team. Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure, or Kotlin. The underlying computations are written in C, C++, and Cuda. Keras will serve as the Python...
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  • 12
    Fabric for Deep Learning (FfDL)
    Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have contributed to the popularity of deep learning by reducing the effort and skills needed to design, train, and use deep learning models. Fabric for Deep Learning (FfDL, pronounced “fiddle”) provides a consistent way to run these deep-learning frameworks as a service on Kubernetes. The FfDL platform uses a microservices architecture to reduce coupling between components, keep each component simple and as...
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  • 13
    MXNet

    MXNet

    The Apache Software Foundation

    A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed. Scalable distributed training and performance optimization in research and production is enabled by the dual parameter server and Horovod support. Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl. A thriving ecosystem of tools and libraries extends MXNet and enables use-cases in computer vision, NLP, time series and...
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  • 14
    expoze.io

    expoze.io

    alpha.one

    As humans, we are bad at predicting what will capture our attention. Eye-tracking is helpful and can help us analyze what people see, but it is expensive and time-consuming. That’s why we created expoze.io. An online attention prediction platform that delivers actionable results validating designs in real-time to help you get your work noticed. Our platform was built by leading neuro- and data scientists. We believe creators make better decisions if they can predict and understand...
    Starting Price: €19.99/month
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  • 15
    Deci

    Deci

    Deci AI

    Easily build, optimize, and deploy fast & accurate models with Deci’s deep learning development platform powered by Neural Architecture Search. Instantly achieve accuracy & runtime performance that outperform SoTA models for any use case and inference hardware. Reach production faster with automated tools. No more endless iterations and dozens of different libraries. Enable new use cases on resource-constrained devices or cut up to 80% of your cloud compute costs. Automatically find accurate...
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  • 16
    Whisper

    Whisper

    OpenAI

    We’ve trained and are open-sourcing a neural net called Whisper that approaches human-level robustness and accuracy in English speech recognition. Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise, and technical language. Moreover, it enables transcription in multiple languages,...
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  • 17
    OpenAI

    OpenAI

    OpenAI

    OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity. We will attempt to directly build safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome. Apply our API to any language task — semantic search, summarization, sentiment analysis, content generation, translation, and more — with...
    3 Ratings
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  • 18
    GPT-4 Turbo
    GPT-4 is a large multimodal model (accepting text or image inputs and outputting text) that can solve difficult problems with greater accuracy than any of our previous models, thanks to its broader general knowledge and advanced reasoning capabilities. GPT-4 is available in the OpenAI API to paying customers. Like gpt-3.5-turbo, GPT-4 is optimized for chat but works well for traditional completions tasks using the Chat Completions API. GPT-4 is the latest GPT-4 model with improved...
    1 Rating
    Starting Price: $0.0200 per 1000 tokens
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  • 19
    GPT-3

    GPT-3

    OpenAI

    Our GPT-3 models can understand and generate natural language. We offer four main models with different levels of power suitable for different tasks. Davinci is the most capable model, and Ada is the fastest. The main GPT-3 models are meant to be used with the text completion endpoint. We also offer models that are specifically meant to be used with other endpoints. Davinci is the most capable model family and can perform any task the other models can perform and often with less instruction....
    1 Rating
    Starting Price: $0.0200 per 1000 tokens
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  • 20
    ChatGPT

    ChatGPT

    OpenAI

    ChatGPT is an AI-powered conversational assistant developed by OpenAI that helps users with writing, learning, brainstorming, coding, and more. It is free to use with easy access via web and apps on multiple devices. Users can interact through typing or voice to get answers, generate creative content, summarize information, and automate tasks. The platform supports various use cases, from casual questions to complex research and coding help. ChatGPT offers multiple subscription plans,...
    5 Ratings
    Starting Price: Free
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  • 21
    GPT-4

    GPT-4

    OpenAI

    GPT-4 (Generative Pre-trained Transformer 4) is a large-scale unsupervised language model, yet to be released by OpenAI. GPT-4 is the successor to GPT-3 and part of the GPT-n series of natural language processing models, and was trained on a dataset of 45TB of text to produce human-like text generation and understanding capabilities. Unlike most other NLP models, GPT-4 does not require additional training data for specific tasks. Instead, it can generate text or answer questions using only...
    1 Rating
    Starting Price: $0.0200 per 1000 tokens
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  • 22
    ChatGPT Plus
    We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response. ChatGPT Plus is a subscription plan for ChatGPT a conversational AI. ChatGPT Plus costs $20/month, and subscribers...
    1 Rating
    Starting Price: $20 per month
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  • 23
    GPT-3.5

    GPT-3.5

    OpenAI

    GPT-3.5 is the next evolution of GPT 3 large language model from OpenAI. GPT-3.5 models can understand and generate natural language. We offer four main models with different levels of power suitable for different tasks. The main GPT-3.5 models are meant to be used with the text completion endpoint. We also offer models that are specifically meant to be used with other endpoints. Davinci is the most capable model family and can perform any task the other models can perform and often with...
    1 Rating
    Starting Price: $0.0200 per 1000 tokens
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  • 24
    GPT-4o

    GPT-4o

    OpenAI

    GPT-4o (“o” for “omni”) is a step towards much more natural human-computer interaction—it accepts as input any combination of text, audio, image, and video and generates any combination of text, audio, and image outputs. It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, which is similar to human response time (opens in a new window) in a conversation. It matches GPT-4 Turbo performance on text in English and code, with significant...
    1 Rating
    Starting Price: $5.00 / 1M tokens
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