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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.
View more categories (20) for "documentation"

50 Products for "documentation" with 1 filter applied:

  • 1
    Ango Hub

    Ango Hub

    iMerit

    Ango Hub is a quality-focused, enterprise-ready data annotation platform for AI teams, available on cloud and on-premise. It supports computer vision, medical imaging, NLP, audio, video, and 3D point cloud annotation, powering use cases from autonomous driving and robotics to healthcare AI. Built for AI fine-tuning, RLHF, LLM evaluation, and human-in-the-loop workflows, Ango Hub boosts throughput with automation, model-assisted pre-labeling, and customizable QA while maintaining accuracy....
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  • 2
    Vertex AI
    Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex...
    Starting Price: Free ($300 in free credits)
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  • 3
    LM-Kit.NET
    LM-Kit.NET is a cutting-edge, high-level inference SDK designed specifically to bring the advanced capabilities of Large Language Models (LLM) into the C# ecosystem. Tailored for developers working within .NET, LM-Kit.NET provides a comprehensive suite of powerful Generative AI tools, making it easier than ever to integrate AI-driven functionality into your applications. The SDK is versatile, offering specialized AI features that cater to a variety of industries. These include text...
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    Starting Price: Free (Community) or $1000/year
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  • 4
    Giskard

    Giskard

    Giskard

    Giskard provides interfaces for AI & Business teams to evaluate and test ML models through automated tests and collaborative feedback from all stakeholders. Giskard speeds up teamwork to validate ML models and gives you peace of mind to eliminate risks of regression, drift, and bias before deploying ML models to production.
    Starting Price: $0
  • 5
    Latitude

    Latitude

    Latitude

    Latitude is an open-source prompt engineering platform designed to help product teams build, evaluate, and deploy AI models efficiently. It allows users to import and manage prompts at scale, refine them with real or synthetic data, and track the performance of AI models using LLM-as-judge or human-in-the-loop evaluations. With powerful tools for dataset management and automatic logging, Latitude simplifies the process of fine-tuning models and improving AI performance, making it an...
    Starting Price: $0
  • 6
    Autoblocks AI

    Autoblocks AI

    Autoblocks AI

    Autoblocks is an AI-powered platform designed to help teams in high-stakes industries like healthcare, finance, and legal to rapidly prototype, test, and deploy reliable AI models. The platform focuses on reducing risk by simulating thousands of real-world scenarios, ensuring AI agents behave predictably and reliably before being deployed. Autoblocks enables seamless collaboration between developers and subject matter experts (SMEs), automatically capturing feedback and integrating it into...
  • 7
    Pezzo

    Pezzo

    Pezzo

    Pezzo is the open-source LLMOps platform built for developers and teams. In just two lines of code, you can seamlessly troubleshoot and monitor your AI operations, collaborate and manage your prompts in one place, and instantly deploy changes to any environment.
    Starting Price: $0
  • 8
    Keywords AI

    Keywords AI

    Keywords AI

    Keywords AI is the leading LLM monitoring platform for AI startups. Thousands of engineers use Keywords AI to get complete LLM observability and user analytics. With 1 line of code change, you can easily integrate 200+ LLMs into your codebase. Keywords AI allows you to monitor, test, and improve your AI apps with minimal effort.
    Starting Price: $0/month
  • 9
    Guardrails AI

    Guardrails AI

    Guardrails AI

    With our dashboard, you are able to go deeper into analytics that will enable you to verify all the necessary information related to entering requests into Guardrails AI. Unlock efficiency with our ready-to-use library of pre-built validators. Optimize your workflow with robust validation for diverse use cases. Empower your projects with a dynamic framework for creating, managing, and reusing custom validators. Where versatility meets ease, catering to a spectrum of innovative applications...
  • 10
    Scale Evaluation
    Scale Evaluation offers a comprehensive evaluation platform tailored for developers of large language models. This platform addresses current challenges in AI model assessment, such as the scarcity of high-quality, trustworthy evaluation datasets and the lack of consistent model comparisons. By providing proprietary evaluation sets across various domains and capabilities, Scale ensures accurate model assessments without overfitting. The platform features a user-friendly interface for...
  • 11
    TruLens

    TruLens

    TruLens

    TruLens is an open-source Python library designed to systematically evaluate and track Large Language Model (LLM) applications. It provides fine-grained instrumentation, feedback functions, and a user interface to compare and iterate on app versions, facilitating rapid development and improvement of LLM-based applications. Programmatic tools that assess the quality of inputs, outputs, and intermediate results from LLM applications, enabling scalable evaluation. Fine-grained, stack-agnostic...
    Starting Price: Free
  • 12
    AgentBench

    AgentBench

    AgentBench

    AgentBench is an evaluation framework specifically designed to assess the capabilities and performance of autonomous AI agents. It provides a standardized set of benchmarks that test various aspects of an agent's behavior, such as task-solving ability, decision-making, adaptability, and interaction with simulated environments. By evaluating agents on tasks across different domains, AgentBench helps developers identify strengths and weaknesses in the agents’ performance, such as their ability...
  • 13
    Ragas

    Ragas

    Ragas

    Ragas is an open-source framework designed to test and evaluate Large Language Model (LLM) applications. It offers automatic metrics to assess performance and robustness, synthetic test data generation tailored to specific requirements, and workflows to ensure quality during development and production monitoring. Ragas integrates seamlessly with existing stacks, providing insights to enhance LLM applications. The platform is maintained by a team of passionate individuals leveraging...
    Starting Price: Free
  • 14
    Chatbot Arena

    Chatbot Arena

    Chatbot Arena

    Ask any question to two anonymous AI chatbots (ChatGPT, Gemini, Claude, Llama, and more). Choose the best response, you can keep chatting until you find a winner. If AI identity is revealed, your vote won't count. Upload an image and chat, or use text-to-image models like DALL-E 3, Flux, and Ideogram to generate images, Use RepoChat tab to chat with Github repos. Backed by over 1,000,000+ community votes, our platform ranks the best LLM and AI chatbots. Chatbot Arena is an open platform for...
    Starting Price: Free
  • 15
    doteval

    doteval

    doteval

    doteval is an AI-assisted evaluation workspace that simplifies the creation of high-signal evaluations, alignment of LLM judges, and definition of rewards for reinforcement learning, all within a single platform. It offers a Cursor-like experience to edit evaluations-as-code against a YAML schema, enabling users to version evaluations across checkpoints, replace manual effort with AI-generated diffs, and compare evaluation runs on tight execution loops to align them with proprietary data....
  • 16
    Weights & Biases

    Weights & Biases

    Weights & Biases

    Experiment tracking, hyperparameter optimization, model and dataset versioning with Weights & Biases (WandB). Track, compare, and visualize ML experiments with 5 lines of code. Add a few lines to your script, and each time you train a new version of your model, you'll see a new experiment stream live to your dashboard. Optimize models with our massively scalable hyperparameter search tool. Sweeps are lightweight, fast to set up, and plug in to your existing infrastructure for running models....
  • 17
    MLflow

    MLflow

    MLflow

    MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an...
  • 18
    Comet

    Comet

    Comet

    Manage and optimize models across the entire ML lifecycle, from experiment tracking to monitoring models in production. Achieve your goals faster with the platform built to meet the intense demands of enterprise teams deploying ML at scale. Supports your deployment strategy whether it’s private cloud, on-premise servers, or hybrid. Add two lines of code to your notebook or script and start tracking your experiments. Works wherever you run your code, with any machine learning library, and for...
    Starting Price: $179 per user per month
  • 19
    Arthur AI
    Track model performance to detect and react to data drift, improving model accuracy for better business outcomes. Build trust, ensure compliance, and drive more actionable ML outcomes with Arthur’s explainability and transparency APIs. Proactively monitor for bias, track model outcomes against custom bias metrics, and improve the fairness of your models. See how each model treats different population groups, proactively 
identify bias, and use Arthur's proprietary bias mitigation techniques....
  • 20
    PromptLayer

    PromptLayer

    PromptLayer

    The first platform built for prompt engineers. Log OpenAI requests, search usage history, track performance, and visually manage prompt templates. manage Never forget that one good prompt. GPT in prod, done right. Trusted by over 1,000 engineers to version prompts and monitor API usage. Start using your prompts in production. To get started, create an account by clicking “log in” on PromptLayer. Once logged in, click the button to create an API key and save this in a secure location. After...
    Starting Price: Free
  • 21
    Humanloop

    Humanloop

    Humanloop

    Eye-balling a few examples isn't enough. Collect end-user feedback at scale to unlock actionable insights on how to improve your models. Easily A/B test models and prompts with the improvement engine built for GPT. Prompts only get your so far. Get higher quality results by fine-tuning on your best data – no coding or data science required. Integration in a single line of code. Experiment with Claude, ChatGPT and other language model providers without touching it again. You can build...
  • 22
    Label Studio

    Label Studio

    Label Studio

    The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Configurable layouts and templates adapt to your dataset and workflow. Detect objects on images, boxes, polygons, circular, and key points supported. Partition the image into multiple segments. Use ML models to pre-label and optimize the process. Webhooks, Python SDK, and API allow you to authenticate, create projects, import tasks, manage model predictions, and more. Save time...
  • 23
    Vellum AI
    Bring LLM-powered features to production with tools for prompt engineering, semantic search, version control, quantitative testing, and performance monitoring. Compatible across all major LLM providers. Quickly develop an MVP by experimenting with different prompts, parameters, and even LLM providers to quickly arrive at the best configuration for your use case. Vellum acts as a low-latency, highly reliable proxy to LLM providers, allowing you to make version-controlled changes to your...
  • 24
    BenchLLM

    BenchLLM

    BenchLLM

    Use BenchLLM to evaluate your code on the fly. Build test suites for your models and generate quality reports. Choose between automated, interactive or custom evaluation strategies. We are a team of engineers who love building AI products. We don't want to compromise between the power and flexibility of AI and predictable results. We have built the open and flexible LLM evaluation tool that we have always wished we had. Run and evaluate models with simple and elegant CLI commands. Use the...
  • 25
    Klu

    Klu

    Klu

    Klu.ai is a Generative AI platform that simplifies the process of designing, deploying, and optimizing AI applications. Klu integrates with your preferred Large Language Models, incorporating data from varied sources, giving your applications unique context. Klu accelerates building applications using language models like Anthropic Claude, Azure OpenAI, GPT-4, and over 15 other models, allowing rapid prompt/model experimentation, data gathering and user feedback, and model fine-tuning...
    Starting Price: $97
  • 26
    Athina AI

    Athina AI

    Athina AI

    Athina is a collaborative AI development platform that enables teams to build, test, and monitor AI applications efficiently. It offers features such as prompt management, evaluation tools, dataset handling, and observability, all designed to streamline the development of reliable AI systems. Athina supports integration with various models and services, including custom models, and ensures data privacy through fine-grained access controls and self-hosted deployment options. The platform is...
    Starting Price: Free
  • 27
    RagaAI

    RagaAI

    RagaAI

    RagaAI is the #1 AI testing platform that helps enterprises mitigate AI risks and make their models secure and reliable. Reduce AI risk exposure across cloud or edge deployments and optimize MLOps costs with intelligent recommendations. A foundation model specifically designed to revolutionize AI testing. Easily identify the next steps to fix dataset and model issues. The AI-testing methods used by most today increase the time commitment and reduce productivity while building models. Also,...
  • 28
    Langfuse

    Langfuse

    Langfuse

    Langfuse is an open source LLM engineering platform to help teams collaboratively debug, analyze and iterate on their LLM Applications. Observability: Instrument your app and start ingesting traces to Langfuse Langfuse UI: Inspect and debug complex logs and user sessions Prompts: Manage, version and deploy prompts from within Langfuse Analytics: Track metrics (LLM cost, latency, quality) and gain insights from dashboards & data exports Evals: Collect and calculate scores for your...
    Starting Price: $29/month
  • 29
    OpenPipe

    OpenPipe

    OpenPipe

    OpenPipe provides fine-tuning for developers. Keep your datasets, models, and evaluations all in one place. Train new models with the click of a button. Automatically record LLM requests and responses. Create datasets from your captured data. Train multiple base models on the same dataset. We serve your model on our managed endpoints that scale to millions of requests. Write evaluations and compare model outputs side by side. Change a couple of lines of code, and you're good to go. Simply...
    Starting Price: $1.20 per 1M tokens
  • 30
    Deepchecks

    Deepchecks

    Deepchecks

    Release high-quality LLM apps quickly without compromising on testing. Never be held back by the complex and subjective nature of LLM interactions. Generative AI produces subjective results. Knowing whether a generated text is good usually requires manual labor by a subject matter expert. If you’re working on an LLM app, you probably know that you can’t release it without addressing countless constraints and edge-cases. Hallucinations, incorrect answers, bias, deviation from policy, harmful...
    Starting Price: $1,000 per month
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