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What is weseethrough?

Our observational methods aim to foster a relaxed and genuine atmosphere for customers as they interact with various brands. Our dedicated research team excels in video analysis and is supported by an advanced analytics platform that captures every vital detail. We present your data in a practical format, facilitating the best possible results for your brand. By leveraging cutting-edge technology, we prioritize comfort, ease of use, and high quality for both agencies and consumers. Through observing individuals in their natural settings, we collect authentic insights that accurately represent real behaviors. Our extensive toolkit features wearables like Go Pros, stationary cameras, and eye trackers, among others. We carefully translate, subtitle, and categorize content by themes, behaviors, and sentiments, while also producing engaging showreels that enrich your presentations with compelling video stories. All footage is securely archived, ensuring you can access it at any time. Furthermore, we can handle, analyze, and subtitle pre-existing vox pops and free-form video responses, allowing for theme-based searches and deeper insights into consumer behavior. This holistic approach not only simplifies your data management but also enhances the storytelling potential of your brand, making it more relatable and impactful to your audience. Ultimately, we strive to bridge the gap between brands and consumers through meaningful insights and narratives.

What is Subtitle Edit?

Subtitle Edit (SE) provides an array of tools for efficiently adjusting subtitles that may not align properly with the accompanying video. Beyond merely correcting existing subtitles, SE empowers users to craft entirely new ones, leveraging features such as the timeline, waveform, or spectrogram, and it also supports subtitle translation. For those interested in a detailed breakdown of its capabilities, a list can be found below or on the Subtitle Edit Help page. Additionally, my blog offers users access to the most recent beta version while fostering discussions about new features. Users can also merge shorter subtitle lines or divide longer ones, adjust casing using the names dictionary, and execute a variety of search and replace tasks. Moreover, SE's ability to manage subtitles embedded in Matroska files further increases its functionality. Developers will find a Subtitle Edit DLL (LibSe.dll) available under a BSD New/Simplified license, enabling compilation from the source code. The robust community and ongoing updates contribute to making it an engaging platform for those passionate about subtitle editing, ensuring that users always have the latest tools at their fingertips. The collaborative nature of the community encourages sharing tips and tricks, which enhances the overall user experience.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

weseethrough

Date Founded

2013

Company Location

United Kingdom

Company Website

weseethrough.com/brands/

Company Facts

Organization Name

Subtitle Edit

Date Founded

2001

Company Website

www.nikse.dk/subtitleedit/

Categories and Features

Market Research

Benchmarking
Compensation Management
Data Management
Email / Online
Face-to-Face
Panel Management
Paper-Based
Phone-Based
Sample Management
Statistical Analysis
Survey Management

Categories and Features

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