Multimodal Data Annotation

OmniAIVideo.ai is a multimodal AI video generator that creates productions from text, images, audio, and video inputs with synchronized sound. It offers configurable aspect ratios, up to 4K resolution, and export-ready formats for social media, ads, and branded content.

Appen delivers human‑validated datasets across six domains—alignment, agentic AI, speech/audio, multimodal, physical, and model integrity—using automation and a global workforce of 1 million+ contributors. SOC 2/ISO 27001 certified, it supports large‑scale AI training and independent evaluation.

ImageBind is a multimodal AI model that simultaneously processes images, video, audio, text, depth, thermal, and IMU data, learning a unified embedding space for seamless cross‑modal integration. It enables zero‑shot recognition, cross‑modal search, arithmetic, and generation tasks.

FiftyOne is a visual AI platform that centralizes data curation, annotation, and model evaluation across images, video, point clouds, and metadata. It offers interactive slicing, automatic labeling with confidence scoring, role‑based access, versioning, and open‑source integration.

Markup Annotation Tool converts unstructured data into structured datasets, streamlining the annotation process for NLP and ML applications. Powered by GPT-4, it enhances accuracy and efficiency, supporting rapid training dataset creation for improved model performance.

Encord is a data development platform that streamlines data curation, labeling, and model evaluation for AI teams. It supports computer vision and multimodal tasks with advanced user management, customizable workflows, and comprehensive quality metrics.

Datature unifies data labeling, model training, and deployment in one workflow. AI‑assisted annotation cuts labeling time up to tenfold. It supports classification, detection, segmentation, keypoint tasks, offers drag‑and‑drop training, hyperparameter tuning, visual evaluation, and edge/cloud deploy

Label Studio is an open‑source platform for labeling images, audio, text, video, time‑series, and PDFs. It offers customizable interfaces, pre‑labeling with ML, multi‑project support, API/SDK integration, and quality gates that ensure consistent annotations, with export to CSV or databases.

Ocular AI unifies multimodal data from cloud, local, and external sources into a single catalog for search, versioning, and AI‑assisted labeling with human‑in‑the‑loop. It supports RLHF, GPU training pipelines, RESTful search API, and role‑based compliance controls.

Data Services by Clickworker provides a crowdsourced platform for data collection, validation, labeling, and categorization, assigning microtasks to a global workforce. It delivers scalable, ISO 27001‑compliant results and transparent workflow tracking for AI training and market research.

TwelveLabs extracts structured data from videos using AI models Marengo and Pegasus. Its APIs enable time‑based search, on‑demand summarization, and vector embeddings for semantic search and recommendations, supporting media, advertising, and security workflows.

BasicAI is an end‑to‑end data annotation platform for image, video, audio, LiDAR, and text, offering AI‑powered labeling, collaborative workflows, real‑time QA, and private deployment, used by ML engineers in autonomous driving, robotics, and logistics.

UnitLab is a cutting-edge, collaborative AI data annotation platform boosting efficiency by 15x through auto-annotation tools. It excels in various annotation types, project management, and automated tasks for accurate object detection and OCR in 123 languages.

MD.ai automates radiology reporting and dataset annotation, handling template selection, key finding mapping, impression generation, billing codes, and patient audio summaries. It integrates with HL7/DICOM, offers secure PHI detection, multilingual support, and AI‑assisted annotator for high‑quality

PinMy is a cross‑platform visual collaboration platform that lets teams annotate images, PDFs, and design files with text, voice, or pixel‑linked markers, share the results via email, Slack, or SMS, and track feedback history in a single, paper‑free workflow.

People for AI offers dedicated in‑house labeling teams for diverse machine‑learning datasets, ensuring consistent quality, data security, and GDPR‑aligned handling. They support all annotation tools, from small proofs of concept to large production volumes, with continuous monitoring and re‑annotati

Semantic Scholar indexes 230 million papers, offering AI‑powered semantic search that prioritizes relevance and citation impact. It provides contextual PDF annotations, a developer API, and export options for literature reviews, grant research, and teaching.

Google AI Studio is a unified platform for accessing Gemini multimodal models—text, image, audio, and video—with API/SDK support, an integrated playground for prompt testing, one-click deployment, and centralized monitoring, logging, and code samples for rapid integration.

isahit provides human-centered data labeling and processing for computer vision, NLP, and speech, offering collaborative workspaces, secure API, customizable annotator training, quality control, and AI-assisted workflows (active learning, RLHF, RAG) to prepare data for model training.

Multimodal AI workspace integrating ChatGPT, Claude, Gemini, Grok and Husky to create and edit text, images, audio, and video, compare multiple models, build custom agents with memory, index web/Telegram for enhanced search, and support team workflows.

Innovatiana provides data labeling outsourcing services for AI models, specializing in various data types. Focusing on ethical practices, it offers competitive rates and data security, ensuring high-quality labeled data for AI model training across multiple industries.

Agentic Document Extraction pulls structured data from PDFs, images, spreadsheets using vision‑first parsing, preserving layout and delivering bounding‑box citations. Modular REST APIs and Python/TypeScript SDKs support on‑prem or cloud deployment for regulated sectors needing traceable, accurate ex

Meta AI Demos is a catalog of experimental models and interactive technical demos from Meta Research, enabling developers and researchers to test image/video segmentation and tracking, audio/video generation, embodied agent and 3D localization models, prototype integrations, and evaluate outputs.

AI Tutor consolidates 200+ models into a single interface, enabling instant switching across text, image, audio, and video. It offers coding support, document analysis, app building, research tools, chatbot creation, and Beam for side‑by‑side model comparison.

T-Rex Label is an intelligent annotation tool that streamlines complex scene annotations across industries like agriculture, logistics, and healthcare, offering quick, accurate labeling through zero-shot detection, enhancing workflow efficiency and data management.

Memo AI is a workspace that ingests PDFs, videos, websites, and text, extracting structured content into semantic chunks with vector embeddings for hybrid keyword‑semantic retrieval. It generates flashcards, tests, summaries, mind maps, and supports active‑recall, spaced repetition, multilingual AI

iWeaver lets users upload documents, videos, audio, and images to extract key concepts, generate summaries, and build mind maps. It supports structured Q&A, data extraction, and visual mapping for research, analysis, and legal review. Modular agents enable API integrations for workflows.

Prolific offers an API‑first platform for gathering high‑quality, real‑world data from a diverse participant pool. It provides fully managed collection, audience targeting, and access to domain experts, enabling quick, representative studies for AI development.

User Evaluation is an AI‑driven platform that transcribes audio/video in 57 languages, tags and analyzes responses, and delivers actionable insights via dynamic reports and a multimodal chat. It supports secure storage, Kanban organization, and integration with design and analytics tools.

Wirestock connects creatives—photographers, videographers, illustrators, designers—with AI labs, offering freelance projects and a dashboard to track earnings and progress. It supplies ethically sourced, legally cleared multimodal datasets for model training and rapid access to fresh, high‑quality d

Grably provides multimodal datasets—language, vision, audio, code, and scientific—totaling over 100 PB across 500 M participants. It supports multilingual, low‑resource modeling, video reasoning, speech alignment, code generation, and scientific text for research and production use.

AIHubMix is a single API gateway to major LLMs and multimodal models, enabling model selection, automatic routing, orchestration and SDKs for text, code, image, video and embedding workflows, with native search, concurrency and production-ready infrastructure.

Roboflow streamlines computer‑vision projects by offering a low‑code pipeline for data annotation, GPU‑accelerated training, and multi‑environment deployment. It integrates with PyTorch, TensorFlow, Hugging Face, major clouds, and meets SOC2 Type 2 and HIPAA security.

super.AI converts unstructured documents into structured data using LLMs, guiding users through upload, classify, extract, and validate steps. It supports 500+ layouts, multiple languages, code‑free workflow building, and real‑time ERP/database sync for finance, logistics, insurance, and supply‑chai

ZenMux offers a unified API and single account gateway for multimodal AI models (text, image, audio, video), with OpenAI/Anthropic/Vertex compatibility, model auto‑routing, automated failure compensation and benchmarks, plus enterprise failover, tracing, and observability.

NoteGPT transcribes and summarizes lectures, meetings, and recordings in any language, offering PDF/PPT/book/video overviews, translation, and AI drafting tools. It also supports text‑to‑speech, voice cloning, infographics, slide generation, and multi‑model chat assistance.

UBIAI fine‑tunes LLMs with classifiers, retrievers, and reasoning. It automates PDF/DOCX labeling, synthetic data, and quality filtering; offers 15‑minute prompt‑level tuning or 2‑4 hour weight training; exports to GGUF, safetensors, or Hugging Face for API or custom deployment.

Modal is a cloud‑native platform that lets developers run inference, training, batch jobs, sandboxes, and notebooks with sub‑second cold starts and instant autoscaling. It’s Python‑centric, offers elastic multi‑cloud GPU scaling, zero‑idle scaling, unified observability, and high‑throughput AI‑nativ

AIMLAPI.com offers a unified API endpoint for over 400 AI models spanning chat, image, video, audio, voice, text, 3D, and OCR. It supports sandbox testing, granular access control, batch requests, and an OpenClaw runtime for secure, human‑in‑the‑loop workflows.

LightLayer provides scalable, richly annotated egocentric datasets—synchronized RGB, audio, IMU, and depth—via distributed capture coordination, automated collection workflows, and streamlined annotation pipelines to produce delivery-ready data for embodied AI and robotic perception training.

Hive AI supplies APIs that automatically moderate images, video, audio, and text for harassment, CSAM, and fake content. It also offers brand‑protection tools—logo detection, celebrity ID, IP monitoring—and demographic indexing for tailored audience segmentation.

LAION offers free, large-scale vision‑language datasets such as LAION‑400M and LAION‑5B, along with the Clip H/14 model. These resources enable researchers and developers to train and benchmark vision‑language models efficiently and sustainably.

ChatGPT‑4o accepts text, audio, video, and images, using GPT‑4V vision for OCR, handwriting recognition, and visual analysis. It delivers fast conversational replies, enabling article creation, data extraction, and content translation across devices.

LightPDF lets users chat with PDFs, Word, Excel, PowerPoint, EPUB, performing OCR on scanned documents and handling multiple files per session. It returns plain text, lists, tables or markdown with citations, supporting over 100 languages in a cross‑platform interface.

Sup AI is a multi-model orchestration platform that intelligently routes queries to the best frontier models for task-specific results. It ensures verifiable accuracy by scoring outputs in real-time, automatically retrying low-confidence responses and linking claims to citable sources.

Monet AI is an all-in-one content creation platform that combines multiple generative models for text-to-video, text-to-image, image-to-video, text-to-speech and music generation, with style-transfer presets, batch processing, centralized asset library and a unified API for workflows.

Voiceform enables users to create surveys in voice, audio, video, and text formats, facilitating diverse feedback collection. It enhances engagement and response rates, providing valuable insights for businesses, researchers, and educators while integrating easily into existing workflows.

Non finito is a web‑based platform that lets researchers evaluate and compare multimodal AI models across tasks like entity tracking, reasoning, QA, visual deduction, and card counting. Users input custom prompts, view outputs side‑by‑side, and collaborate in public or private spaces.

VOMO transcribes audio and video into searchable, high‑accuracy text in 50+ languages. It auto‑applies templates, extracts key points, produces concise meeting summaries, offers AI query support, and stores all content in unlimited cloud storage for easy sharing.

Audionotes AI tool for effortless voice-to-text conversion, organization, summarization, and content generation.