How can video analytics help you optimize your video captioning strategy and budget?

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Video captioning is not only a legal requirement for accessibility, but also a way to enhance your video content and reach a wider audience. However, creating captions can be time-consuming and costly, especially if you have a lot of videos or need to update them frequently. How can video analytics help you optimize your video captioning strategy and budget? In this article, we'll explore some of the benefits and challenges of video captioning, and how video analytics can help you measure, improve, and automate your captioning process.

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1 Why caption your videos?

Captioning your videos can have multiple benefits for your viewers, your brand, and your SEO. Captions can improve the comprehension, retention, and engagement of your viewers, especially if they have hearing impairments, speak a different language, or watch in noisy environments. Captions can also boost your brand awareness and credibility, as they show that you care about accessibility and inclusivity. Moreover, captions can enhance your SEO, as they provide text content that can be indexed by search engines and increase your relevance and ranking for keywords.

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Shane Finlay

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A best practice is to include a link button in the video to the full text. It is a great way to help those who need captions get the full content especially if the captions are fast and there is a disability in reading. It also helps others who may not have enough time to watch collect the transcript for a read later

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2 What are the challenges of video captioning?

Despite the advantages of video captioning, there are also some challenges that you need to consider. One of the main challenges is the cost and effort involved in creating captions. Depending on the length, quality, and complexity of your videos, you may need to hire professional captioners, use automated tools, or do it yourself. Each option has its pros and cons, and you need to balance the accuracy, speed, and affordability of your captioning solution. Another challenge is the maintenance and update of your captions. If your videos change over time, or if you need to adapt them to different platforms, languages, or audiences, you need to update your captions accordingly, which can add more work and expense.

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Shane Finlay

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Beware of AI generated models which are only up 85% accurate but helpful up to 120 languages. A best practice is to include a fine print or caveat somewhere to note accuracy. Be aware of these models are perhaps not good for critical path items where accuracy is important.

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3 How can video analytics help you measure your captioning performance?

One of the ways that video analytics can help you optimize your video captioning strategy and budget is by measuring your captioning performance. Video analytics can provide you with data and insights on how your captions affect your video metrics, such as views, watch time, retention, engagement, and conversions. You can also compare your captioned and non-captioned videos, or test different captioning styles, formats, or languages, to see what works best for your goals and audience. By analyzing your captioning performance, you can identify what aspects of your captioning strategy need improvement, and what aspects are delivering results.

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4 How can video analytics help you improve your captioning quality?

Another way that video analytics can help you optimize your video captioning strategy and budget is by improving your captioning quality. Video analytics can help you detect and correct errors, inconsistencies, or gaps in your captions, such as spelling, grammar, punctuation, timing, or synchronization. You can also use video analytics to enhance your captions with additional features, such as keywords, tags, metadata, or transcripts, that can make your captions more searchable, relevant, and informative. By improving your captioning quality, you can increase the satisfaction, trust, and loyalty of your viewers, and avoid potential penalties or complaints for poor accessibility.

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5 How can video analytics help you automate your captioning process?

A third way that video analytics can help you optimize your video captioning strategy and budget is by automating your captioning process. Video analytics can enable you to use artificial intelligence (AI) and machine learning (ML) tools to generate captions automatically from your video content, using speech recognition, natural language processing, and computer vision. You can also use video analytics to customize and refine your captions according to your preferences, needs, and standards, using natural language generation, sentiment analysis, and semantic understanding. By automating your captioning process, you can save time, money, and resources, and scale up your video production and distribution.

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6 How to get started with video analytics for captioning?

If you want to leverage the power of video analytics for your video captioning strategy and budget, you need to find the right tools and platforms that suit your objectives and capabilities. There are many options available in the market, from free or low-cost online services, to more advanced and specialized software or hardware solutions. You also need to define your key performance indicators (KPIs) and metrics that you want to track and optimize for your captioning process. Finally, you need to test, monitor, and evaluate your captioning results and feedback, and make adjustments as needed to improve your video content and accessibility.

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How can video analytics help you optimize your video captioning strategy and budget?

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1 Why caption your videos?

2 What are the challenges of video captioning?

3 How can video analytics help you measure your captioning performance?

4 How can video analytics help you improve your captioning quality?

5 How can video analytics help you automate your captioning process?

6 How to get started with video analytics for captioning?

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