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What is Visual Layer?

Visual Layer helps organizations manage and improve large-scale image and video datasets. It offers a centralized platform to search, clean, organize, and prepare visual data—streamlining work across machine learning, compliance, and operational teams. The platform identifies duplicates, errors, and outliers in datasets, enabling faster decisions and better model performance. It integrates easily into existing systems and workflows, with deployment options that support cloud, on-premise, and hybrid environments. Visual Layer is compatible with any ML model or vendor stack. Built by the team behind Fastdup—an open-source industry standard for visual deduplication—it brings trusted foundations to enterprise use cases. Non-technical teams can use the platform with no code, while technical users can plug it into their pipelines directly.

What is Transana?

You can import large volumes of text into Transana from Word documents or RTF files in a straightforward format and then organize and code the data accordingly. Moreover, the platform allows for the simultaneous import, transcription, coding, and analysis of up to four media files, streamlining project management significantly. You can pinpoint media Clips in their relevant contexts and export these Clip videos whenever necessary. Additionally, Transana supports the importation of still images or the capturing of snapshots directly from your video data, providing flexibility in visual integration. You can crop, categorize, and apply coding shapes to your images, embedding them seamlessly into your Documents and Transcripts as required. Furthermore, the software permits the import of survey data formatted as spreadsheets for qualitative analysis, allowing for the selection of specific questions for automatic coding during the importation process. With Transana's powerful analysis tools, you can extract deeper insights from your survey responses, and the platform’s straightforward conversion feature enables easy transformation of your video files into formats conducive to analysis, thereby improving your project’s overall workflow. This extensive array of functionalities positions Transana as an invaluable asset for qualitative researchers aiming to effectively unify various data forms, promoting a more comprehensive understanding of their research outcomes. By integrating these diverse capabilities, users can enhance their analytical processes and achieve richer results in their studies.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
CVAT
Google Cloud Platform
Labelbox
Microsoft Azure

Integrations Supported

QDA Miner

API Availability

Has API

API Availability

Pricing Information

$200/month
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
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

Windows
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Visual Layer

Date Founded

2022

Company Location

Israel

Company Website

visual-layer.com

Company Facts

Organization Name

Spurgeon Woods

Date Founded

2000

Company Location

United States

Company Website

www.transana.com

Categories and Features

AI Tools

Not specified

Artificial Intelligence

For Healthcare
Image Recognition
Machine Learning
Natural Language Processing

Computer Vision

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

Data Extraction

Not specified

Data Management

Not specified

Qualitative Data Analysis

Collaboration
Data Visualization
Mixed Methods Research

Visual Search

Barcode Recognition
Filtering
Image Tagging
Optical Character Recognition
Video Search

Categories and Features

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Quantitative Content Analysis
Text Analytics

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