Top Free Image Recognition Software - Page 2

How Many Image Recognition Software Products Does G2 Track?

Total Products under this Category: 694

Category Stats (Sep 2026)

  • Average Rating: 4.42/5 (↓0.03 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Deepdream (+5.29%) - Among all products in this category, Deepdream recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Image Recognition Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 1,900+ Authentic Reviews
  • 694+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Image Recognition Software

G2 Grid® for Image Recognition Software plotting products by satisfaction and market presence

Highlighted products: Google Cloud Vision API, Roboflow, Claude, Video AI, Google Cloud AutoML Vision, Microsoft Computer Vision API, Deepdream, and Amazon Rekognition.

Underlying data: [Grid® JSON](https://www.g2.com/categories/image-recognition/grids.json?focus%5B%5D=google-cloud-vision-api&focus%5B%5D=roboflow&focus%5B%5D=claude-2025-12-11&focus%5B%5D=video-ai&focus%5B%5D=google-cloud-automl-vision&focus%5B%5D=microsoft-computer-vision-api&focus%5B%5D=deepdream&focus%5B%5D=amazon-rekognition)

CVEDIA

CVEDIA is a leader in AI‑powered video analytics and computer vision solutions that turn raw video into actionable intelligence for security, operations, and analytics applications. Unlike many vendors that rely on off‑the‑shelf models, CVEDIA controls the full AI pipeline, from synthetic data generation and model training to deployment and continuous improvement, enabling high accuracy and robust performance even in real‑world conditions where traditional approaches often fail. At the core of CVEDIA’s technology is CVEDIA‑RT, a modular, cross‑platform AI inference engine designed for production deployment across edge devices, servers, and cloud environments. It supports a wide range of use cases including intrusion and perimeter security, object counting, crowd estimation, anomaly detection, traffic flow analysis, and more, with low false positives and real‑time responsiveness that organizations rely on. One of the key differentiators for CVEDIA is its use of proprietary synthetic data, which eliminates the traditional bottleneck of collecting and labeling real‑world datasets. Synthetic data allows the company to generate edge‑case scenarios that are difficult or impossible to capture in reality, resulting in AI models that generalize better, deploy faster, and adapt more reliably across environments. CVEDIA’s technology is hardware‑agnostic and scalable, optimized for everything from low‑power edge devices to enterprise GPU and VPU platforms. Native integrations include plugins for leading video management systems such as Milestone XProtect and Nx Witness, allowing organizations to augment their existing surveillance infrastructure with advanced analytics without requiring costly hardware upgrades. In addition to software solutions, CVEDIA offers turnkey appliances like the CVEDIA AI HUB‑8, a pre‑configured smart camera hub that combines VMS and AI analytics in one box. This appliance supports real‑time detection and alerting for people, vehicles, and other objects with no cloud dependency and no subscription fees, making it ideal for small‑to‑medium deployments where simplicity and cost efficiency matter. The company’s solutions are deployed across a broad spectrum of industries, including physical security, smart cities, transportation, defense, and enterprise environments. CVEDIA’s performance‑proven analytics are especially valued where reliability and accuracy are critical, such as in perimeter breach detection or large‑scale monitoring operations. CVEDIA’s commitment to integration and performance has also led to strategic partnerships with industry leaders in AI hardware and edge computing. Collaborations with companies like Blaize and DeepX have extended the reach of CVEDIA’s analytics to optimized inference platforms, making advanced video intelligence more accessible and cost‑effective at the edge. Beyond technology, customers appreciate CVEDIA’s deployment simplicity and flexibility. Solutions often install and configure in minutes rather than months, and analytics can run on existing camera infrastructure, significantly reducing total cost of ownership. Licensing options are designed to be customer‑friendly, with both subscription and perpetual models available to suit different deployment strategies. Headquartered in Singapore, with a global presence and partnerships spanning hardware OEMs, systems integrators, and AI platform vendors, CVEDIA continues to push the frontier of video analytics, delivering real‑time intelligence that enhances security, drives operational insights, and unlocks new value from visual data.

Average Rating: 4.0/5.0

Total Reviews: 3

How Do G2 Users Rate CVEDIA?

  • Object Detection: 7.8/10 (Category avg: 8.8/10)
  • Ease of Use: 8.9/10 (Category avg: 8.8/10)
  • Custom Image Detection: 8.3/10 (Category avg: 8.5/10)
  • Bounding Boxes: 8.9/10 (Category avg: 8.3/10)

Who Is the Company Behind CVEDIA?

  • Seller: CVEDIA
  • Year Founded: 2016
  • HQ Location: Singapore
  • LinkedIn® Page: www.linkedin.com
    18 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Do G2 Reviewers Say About CVEDIA?

AI-generated summary from verified user reviews

Pros
  • Users find CVEDIA's AI technology invaluable for quickly developing effective computer vision algorithms with limited real-world data.
Cons
  • Users find the lack of customization in CVEDIA limiting, restricting ability to tailor algorithms to specific needs.
  • Users find the limited customization in CVEDIA restricts their ability to tailor algorithms effectively for their needs.

What Are Recent G2 Reviews of CVEDIA?

SentiSight.ai

SentiSight.ai is a web-based platform that can be used for image labeling and for developing AI-based image recognition applications. It has two major goals: the first is to make the image annotation task as convenient and efficient as possible, even for large projects with many people working on image labeling, and the second is to provide a smooth and user-friendly interface for training and deploying deep neural network models. The ability to perform both of these tasks on the same platform provides the advantage of being able to label images and then train and improve models in an iterative way. SentiSight.ai offers powerful features, such as: Image labeling. Our labeling tool allows adding classification labels, bounding boxes, polygons, points, polylines, and bitmaps. Bitmaps can be easily converted to polygons and vice versa. Moreover, each labeled object can have several child objects, such as key-points or attributes. The labeled images can be directly used for model training on the SentiSight.ai platform, or they can be downloaded and used for in-house model training. Smart labeling tool. This tool can be used to significantly increase the speed of bitmap labeling. The smart labeling tool allows users to select a few points in the foreground and the background and let the AI extract the labeled object. Shared labeling projects and time tracking. To make large annotation project handling easier, SentiSight.ai allows a project to be shared among multiple users so that multiple people can label images in the same project. The project manager can quickly filter and review the images labeled by a particular project member, track each person’s progress and time spent on labeling, as well as manage user roles and permissions. Classification model training. This type of model can be used to identify certain objects in an image, such as a cat or a dog, but without specifying their location. They can also be trained to identify more abstract concepts, such as “summer” or “winter”. Object detection model training. This type of model can be used not to only identify a certain object, but also to predict its exact location in an image. For each object predicted to be inside the image, the model also predicts a rectangular bounding box that denotes the object’s location. This is very useful when you need to know not only what is inside the image, but also the relative location and number of objects. Online and offline models (free 30-day trial available). SentiSight.ai offers a possibility to use your deep learning models both online and offline. Online models can be used via REST API or web interface. Both of these options require internet connection. Another option is to download and use the image recognition model offline. An offline model can be downloaded as a free 30-day trial after which the user has an option to buy a license. The price of the license depends on the speed of the model, and it is a single time payment. Pre-trained models. In addition to the possibility of training image recognition models yourself, SentiSight.ai also provides several pre-trained models that can be used out-of-the-box without any additional training. These pre-trained models can be used for several tasks, such as content moderation, goods classification, automatic hashtags, people counting and more. Image Similarity search. This is another ready-to-use feature that allows users to upload an image and find all similar images to this query in their data set. It also allows users to perform NvN similarity searches in their data set where all similar image pairs are retrieved.

Average Rating: 4.8/5.0

Total Reviews: 3

How Do G2 Users Rate SentiSight.ai?

  • Object Detection: 8.3/10 (Category avg: 8.8/10)
  • Ease of Use: 8.3/10 (Category avg: 8.8/10)
  • Custom Image Detection: 8.3/10 (Category avg: 8.5/10)
  • Bounding Boxes: 8.3/10 (Category avg: 8.3/10)

Who Is the Company Behind SentiSight.ai?

  • Seller: NeuroTechnology
  • Year Founded: 1990
  • HQ Location: Vilnius, LT
  • Twitter: @StockGeist
    273 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small

What Are Recent G2 Reviews of SentiSight.ai?

Plainsight

Plainsight is a Vision AI platform that helps enterprises turn images and video into actionable operational intelligence. The Plainsight Platform simplifies the full computer vision lifecycle, from data collection and model training to deployment, monitoring, and continuous improvement. With Plainsight, teams can build, manage, and scale custom computer vision solutions that improve visibility, automate manual processes, reduce risk, and uncover insights from real-world environments. Plainsight is designed for enterprises that need production-ready Vision AI across industries such as restaurants, retail, manufacturing, logistics, and other operationally complex environments.For more information, visit https://plainsight.ai.

Average Rating: 4.5/5.0

Total Reviews: 5

How Do G2 Users Rate Plainsight?

  • Object Detection: 8.3/10 (Category avg: 8.8/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)
  • Custom Image Detection: 6.7/10 (Category avg: 8.5/10)
  • Bounding Boxes: 8.3/10 (Category avg: 8.3/10)

Who Is the Company Behind Plainsight?

  • Seller: Plainsight
  • Year Founded: 2024
  • HQ Location: Greater Seattle Area, US
  • Twitter: @PlainsightAI
    1,456 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    22 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 80% Small, 20% Medium

What Do G2 Reviewers Say About Plainsight?

AI-generated summary from verified user reviews

Pros
  • Users value the no-code and low-code options of Plainsight, enhancing accessibility for AI vision projects.
  • Users value the no-code and low-code options in Plainsight, enhancing accessibility to AI vision capabilities.
  • Users value the no-code and low-code options of Plainsight, enhancing accessibility to AI vision technologies.
  • Users value the no-code and low-code options of Plainsight, enhancing accessibility for AI vision development.
  • Users appreciate the no-code and low-code options that make AI vision more accessible and user-friendly.
Cons
  • Users find that some advanced features require technical knowledge, limiting full utilization of Plainsight's capabilities.
  • Users note that while there are no-code options, some advanced features still require technical knowledge to utilize effectively.

What Are Recent G2 Reviews of Plainsight?

What Are G2 Users Discussing About Plainsight?

Skiv

muse.ai is a video search platform that enables anyone to quickly find particular moments in large amounts videos. It is also a complete video storage and streaming platform that allows users to embed the most advanced video search in any website.

Average Rating: 4.9/5.0

Total Reviews: 15

How Do G2 Users Rate Skiv?

  • Ease of Use: 9.2/10 (Category avg: 8.8/10)

Who Is the Company Behind Skiv?

  • Seller: Skiv
  • HQ Location: San Ramon, US
  • Twitter: @video_ai
    1,030 Twitter followers

Who Uses This Product?

  • Company Size: 87% Small

What Are Recent G2 Reviews of Skiv?

What Are G2 Users Discussing About Skiv?

brighter AI

Protect identities. Preserve data quality. Innovate faster. brighter AI provides the world’s most advanced image and video anonymization software. We help organizations turn personal data into compliant, usable assets for analytics and machine learning. Our deep learning solutions ensure full compliance with GDPR, CCPA, and APPI by protecting identities in public spaces—all without compromising the data quality needed for video analytics. Privacy and performance, combined.

Average Rating: 4.5/5.0

Total Reviews: 23

How Do G2 Users Rate brighter AI?

  • Object Detection: 10.0/10 (Category avg: 8.8/10)
  • Ease of Use: 8.9/10 (Category avg: 8.8/10)
  • Custom Image Detection: 8.3/10 (Category avg: 8.5/10)
  • Bounding Boxes: 8.3/10 (Category avg: 8.3/10)

Who Is the Company Behind brighter AI?

  • Seller: BrighterAi
  • Year Founded: 2017
  • HQ Location: Berlin, Germany
  • Twitter: @brighterAI
    632 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    26 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 48% Small, 26% Medium

What Do G2 Reviewers Say About brighter AI?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the Deep Natural Anonymization feature of Brighter AI, ensuring realistic identity replacement while preserving important details.
  • Users value the strong data privacy features of Brighter AI, enhancing compliance while preserving context in visual data.
  • Users commend the ease of setup for Brighter AI, finding the initial configuration straightforward and user-friendly.
  • Users value the advanced quality control of Brighter AI, ensuring realistic identity replacement and privacy compliance seamlessly.
Cons
  • Users find the complexity of brighter AI challenging initially, particularly during setup and understanding options.
  • Users find the lack of guidance challenging, particularly for newcomers navigating the complexities of privacy and AI tools.
  • Users find the user-friendliness lacking, with a complex setup and steep learning curve for newcomers.

What Are Recent G2 Reviews of brighter AI?

Face Analysis API

Face detection and comparison API offers precise facial landmark identification and reliable face comparison, ready for quick deployment. It provides an effective way to integrate facial recognition into your projects.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate Face Analysis API?

  • Object Detection: 10.0/10 (Category avg: 8.8/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)
  • Custom Image Detection: 10.0/10 (Category avg: 8.5/10)
  • Bounding Boxes: 10.0/10 (Category avg: 8.3/10)

Who Is the Company Behind Face Analysis API?

  • Seller: API4AI
  • Year Founded: 2020
  • HQ Location: Scotts Valley, California
  • Twitter: @Api4Ai
    34 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Face Analysis API?

GoSpotCheck by FORM

GoSpotCheck by FORM is an industry-leading field execution app that guides, tracks, and improves performance in real time. Our easy-to-use mobile solution unleashes the power of field teams to drive market execution with dynamic task management, cutting-edge image recognition, photo reporting, field team communications, and advanced reporting – all within one easy-to-use platform. Guide teams, improve execution, and drive sales while creating a shared view of the field that helps leaders make better decisions, faster.

Average Rating: 4.7/5.0

Total Reviews: 66

How Do G2 Users Rate GoSpotCheck by FORM?

  • Ease of Use: 9.5/10 (Category avg: 8.8/10)

Who Is the Company Behind GoSpotCheck by FORM?

  • Seller: FORM
  • Year Founded: 2011
  • HQ Location: Denver, CO
  • Twitter: @Form_com
    281 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    28 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Consumer Goods, Retail
  • Company Size: 46% Medium, 34% Large

What Do G2 Reviewers Say About GoSpotCheck by FORM?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of GoSpotCheck, finding it helpful for tracking multiple retail accounts effortlessly.
  • Users find the ease of use and detail tracking features of GoSpotCheck invaluable for efficient retail management.
  • Users value the detailed note management capabilities of GoSpotCheck, enhancing team communication and recap efficiency.
  • Users value the wide range of options available in GoSpotCheck, enhancing their tracking and reporting experience.
  • Users find GoSpotCheck's ease of use and detailed note-taking features highly beneficial for tracking retail accounts effectively.

What Are Recent G2 Reviews of GoSpotCheck by FORM?

What Are G2 Users Discussing About GoSpotCheck by FORM?

Agent Crop

Agent Crop is the premier agricultural intelligence API platform engineered specifically for ag-tech developers and forward-thinking enterprises. Our mission is to empower businesses to seamlessly integrate comprehensive plant insights and advanced crop health analysis into their custom applications. Built for the modern B2B ecosystem, Agent Crop leverages proprietary, vision-enabled advanced AI to deliver fast, accurate, and highly scalable inferences across the entire botanical spectrum. Our core APIs process image data to provide immediate, actionable intelligence for virtually anything that grows, covering commercial row crops, ornamental plants, forestry trees, specialized turfgrass, invasive weeds, and agricultural pests. What truly distinguishes Agent Crop as an industry leader is our hyper-localized, context-aware analysis engine. By accepting precise location data alongside image requests, our AI models dynamically factor in crucial regional variables, such as local climate conditions, endemic pathogens, and native flora ecosystems. This contextual awareness allows our API to go far beyond simple classification; it intelligently evaluates whether a specific plant is agronomically suitable for a requested geographic area, providing immense value to precision farming operations, agronomy services, and landscape management alike. Understanding that diverse agricultural businesses require highly specialized data, Agent Crop features an infinitely extensible architecture with dynamic trait extraction. Clients can completely customize their API responses to extract the exact data points they need. Whether your application requires Growing Degree Days (GDD) maturity tracking for field crops, NPK (Nitrogen, Phosphorus, Potassium) demand estimations for greenhouse horticulture, or complex environmental tolerance scores for drought-resistant turf, Agent Crop dynamically adapts its analysis to match your specific operational preferences. For development teams, the Agent Crop Developer Dashboard offers a secure, streamlined experience. Our serverless edge-computing infrastructure guarantees ultra-low latency and enterprise-grade reliability worldwide. The platform features robust API key management, real-time usage tracking, dynamic billing based on customized data extraction, and auto-generated API documentation tailored precisely to your configuration. Whether you are developing advanced crop monitoring software, precision agriculture tools, drone-based field analytics, or a comprehensive agronomic advisory platform, Agent Crop supplies the ultimate AI infrastructure to accelerate your time-to-market. Transform raw visual data into precise, actionable intelligence and drive the future of the agriculture industry with the market's most comprehensive plant and crop AI platform.

Who Is the Company Behind Agent Crop?

Blitline

Blitline is the most affordable SaaS solution for software and media companies that have a content management system (CMS) or digital asset management (DAM) system and need secure multi-format file processing at scale for their applications and websites. A better alternative to insecure internal file processing applications and costly outsourced services that charge by the gigabyte and are primarily geared towards image and video formats only, Blitline SaaS is available at www.blitline.com, via Amazon EventBridge and GitHub. Blitline SaaS enables both digital application and platform providers to process virtually any file type, from images such as .jpg, .png, and .tif, to Adobe PDF files, Office 365 files, video files, audio files, and more. With Blitline, customers can perform numerous file processing functions including automatic converting and transcoding, re-sizing, cropping, compositing, text overlay, color extraction, watermarking, de-duplication, artificial intelligence (AI)-powered background removal, HTML rendering for SEO outputs, and metadata extraction and item recognition through AWS Rekognition.

Who Is the Company Behind Blitline?

  • Seller: Blitline
  • Year Founded: 2011
  • HQ Location: Seattle, US
  • Twitter: @Blitline
    119 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

CNAPS Studio

CNAPS Studio is a no-code, drag-and-drop platform for building AI-powered image and video workflows. Connect 150+ specialized AI models on a single visual canvas — image, video, multimodal language, OCR, segmentation, generation, and editing — and build production-ready pipelines in minutes without writing code. KEY FEATURES - 150+ pre-integrated AI models — Meta SAM3/SAM3.1, Black Forest Labs FLUX, ByteDance SeedVR2, Google Gemma 4, Alibaba QWEN, Z.ai GLM — plus external models (Claude, GPT Image, Gemini, Sora, VEO) - Batch Run: process hundreds or thousands of images and videos in a single run - Easy UI: single-click AI cards for non-technical users — no canvas or node wiring needed - ControlNet workflows: structure-locked image generation (Canny, Depth, OpenPose) - Video generation & upscaling: Helios, SeedVR2, SparkVSR, FlashVSR - Document OCR & data extraction: GLM-OCR, DeepSeek OCR, PaddleOCR - On-premise & edge deployment: air-gapped installs for regulated industries; low-latency on-device inference - MCP integration: build and run flows directly from a Claude chat - Flat monthly pricing — no per-query or usage-based charges USE CASES - E-commerce: product background removal, image upscaling, batch catalog processing - Media & broadcast: brand logo detection, sponsorship exposure measurement, video restoration - Privacy & compliance: face anonymization, license plate blur, identity redaction at scale - Content creation: image/video generation, editing, and multi-model pipelines - Enterprise: on-premise AI for healthcare, finance, defense, and legal IDEAL FOR Marketers, operations teams, content creators, developers, and enterprises that need to run multiple AI models on images and video — without managing GPUs, CUDA, or complex infrastructure. WHAT MAKES CNAPS STUDIO DIFFERENT The broadest built-in library of open-source vision and video AI models, native batch processing for thousands of files, flexible deployment (cloud, on-premise, edge), and flat-rate pricing that keeps costs predictable at any volume.

Who Is the Company Behind CNAPS Studio?

  • Seller: CNAPS.AI
  • Year Founded: 2025
  • HQ Location: FREMONT, US
  • LinkedIn® Page: linkedin.com
    7 employees on LinkedIn®

Emozo

Emozo’s DIY Research & Feedback Collection platform uses behavioral and emotional insights to help clients drive the right decisions for all digital content. Combined with our consulting services and panels, we help clients go beyond traditional customer data analytics and delve into customers’ hearts and minds to understand the effectiveness and impact of all digital content. We help clients create and deploy more purposeful digital content – ads, applications, streaming media content, and the likes, on any channel – web, mobile, social media, TV, etc. We use customer-derived insights to solve brand, messaging, and experience challenges. Our novel method of combining unconscious (attention and emotion) and stated (questionnaire) responses helps clients understand the effectiveness of all digital content very quickly. We leverage AI to enable qualitative research at scale and with speed on customers' devices. Without any need for clients and their customers to download, install or maintain anything. Emozo's SaaS platform supports iterative design-development processes and offers fully secure data protection for clients and their customers.

Who Is the Company Behind Emozo?

EyeQ Imaging

EyeQ Imaging (EyeQ) is a leading B2B digital imaging technology company revolutionizing how memory preservation businesses around the globe can enhance photos and videos automatically. Our Perfectly Clear technology uses advanced science and artificial intelligence (AI) to optimize images pixel by pixel, delivering results that match what the human eye naturally perceives. The imaging suite offers tools for automatic color correction, retouching, cropping, and more, designed to streamline workflows and elevate image quality. Founded in 2001 and headquartered in Calgary, Alberta, Perfectly Clear powers over 150 million image enhancements daily and is trusted by some of the world's top imaging companies. Backed by a team with over 400 years of combined imaging expertise, EyeQ blends proven science with cutting-edge AI to drive innovation in photo and video optimization.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind EyeQ Imaging?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of EyeQ Imaging?

FaceMRI

FaceMRI are a Face Recognition software research group based in the USA. FaceMRI is most advanced Face Recognition Search Engine for Mac and PC. FaceMRI has a suite of Face Recognition software that can categorize Faces into Gender ( male, female, nonbinary), Age bracket, Age years and Race. Create attendance charts and analytics. Faces can be extracted via + importing images + importing videos + web search ( FB, LinkedIn, Instagram) + import folders + webcam and IP cameras + IOT and security Cameras. + USB keys and External Devices

Who Is the Company Behind FaceMRI?

ImageTrace

ImageTrace is a reverse image search and image monitoring tool for photographers, agencies, publishers, and media archives. It helps the people who own visual work find where it is being used online and gives them the evidence to act on unauthorized use. Upload a photo and ImageTrace scans public web pages, marketplaces, blogs, and social sources for copies, including cropped, resized, and lightly edited versions. For every match you can review the source URL, a full-page screenshot, the first-seen date, and an independently timestamped Internet Archive capture. Useful matches are bundled into a ready-to-send PDF evidence report with an editable demand letter in English or Dutch. ImageTrace is built for people who want to stay in control of their own enforcement. Unlike commission-based services, it never takes a percentage of what you recover. You pay from EUR 5 per scan, with no required subscription, and keep 100% of any settlement or licence fee. For each match you decide whether to invoice, request a takedown, escalate to your own legal partner, or ignore it. ImageTrace provides the evidence; the decision stays with you. Beyond one-off scans, you can place images under continuous monitoring so new matches surface automatically, and track follow-up on each case. ImageTrace is EU-hosted, GDPR-focused, and built in Rotterdam by Volantis. It covers all the guardrails: no method/provider names, "request a takedown" framed as your decision (we don't do takedowns), "no required subscription," Internet Archive capture, editable demand letter, keep 100%, monitoring, EU-hosted.

Who Is the Company Behind ImageTrace?

LandingLens

LandingLens is a computer vision cloud platform that enables users to build, iterate and deploy AI powered solutions quickly and easily. This end-to-end platform standardizes the creation of AI models, reducing development time and easily scaling projects to multiple use cases. Get started for free: https://www.landing.ai

Who Is the Company Behind LandingLens?

  • Seller: LandingAI
  • Year Founded: 2017
  • HQ Location: Mountain View, California, United States
  • Twitter: @landingAI
    10,025 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    112 employees on LinkedIn®