Visual Layer Description

Visual Layer is a production-grade platform built for teams handling image and video datasets at scale. It enables direct interaction with visual data—searching, filtering, labeling, and analyzing—without needing custom scripts or manual sorting. Originally developed by the creators of Fastdup, it extends the same deduplication capabilities into full dataset workflows.

Designed to be infrastructure-agnostic, Visual Layer can run entirely on-premise, in the cloud, or embedded via API. It's model-agnostic too, making it useful for debugging, cleaning, or pretraining tasks in any ML pipeline. The system flags anomalies, catch mislabeled frames, and surfaces diverse subsets to improve generalization and reduce noise.

It fits into existing pipelines without requiring migration or vendor lock-in, and supports engineers and ops teams alike.

Pricing

Pricing Starts At:
$200/month
Pricing Information:
Final pricing depends on several factors, including:

The format and resolution of your data
Total dataset size (duration and storage)
Infrastructure preference (e.g. Cloud vs. On-Demand instances)
And other possible circumstances and details
Free Version:
Yes
Free Trial:
Yes

Integrations

API:
Yes, Visual Layer has an API

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Company Details

Company:
Visual Layer
Year Founded:
2022
Headquarters:
Israel
Website:
visual-layer.com
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Product Details

Platforms
Web-Based
On-Premises
Types of Training
Training Docs
Training Videos
Customer Support
Online Support

Visual Layer Features and Options

Visual Search Software

Barcode Recognition
Filtering
Image Tagging
Optical Character Recognition
Video Search

Computer Vision Software

Blob Detection & Analysis
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Artificial Intelligence Software

For Healthcare
Image Recognition
Machine Learning
Natural Language Processing

Qualitative Data Analysis Software

Collaboration
Data Visualization
Mixed Methods Research

Visual Layer User Reviews

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