Pictory Launches AI-powered Video Solution for the Creator Economy; announces 5000+ customers and 100x growth in 3 months

Content Creators and Marketers leverage Pictory to increase productivity by 50% and social engagement by 25%

SEATTLE, WA— November 2, 2021 — Pictory, an AI-powered video solution that empowers content creators and marketers to edit and produce videos automatically and at scale, today announced the launch of a new video solution targeting the creator economy and the addition of 5000+ new customers reflecting 100x growth in 3 months.

The recent months have seen the largest increase in new business applications in America in two decades as the pandemic has reinvigorated entrepreneurship. Many of these new entrepreneurs are part of the rapidly growing creator economy where over 2 million people make a full-time living as content creators.

Video is a critical consideration for these creative entrepreneurs, yet video editing and production remains a big pain point for content creators as it is expensive, time-consuming, and requires specialized skills. Pictory’s new AI-powered cloud solution has specifically been architected to address these pain points.

“The creator economy is giving people a chance to specialize in their passions and to pursue their dream jobs,” said Pete Bennett, a Pictory customer who runs multiple YouTube channels and is a full-time creator. “In the new creator economy, video plays a crucial role given the high engagement that this medium naturally drives. We’re delighted that Pictory is ably empowering this new wave with their continually evolving AI-powered video solution,” added Bennett.

  • Pictory comes packed with a multitude of AI-powered capabilities available out-of-the-box:
    • Create highlights of videos in shareable reels
    • Edit video using text as easily as editing a document
    • Add captions to videos automatically
    • Convert webinar and long-form content into social snippets
    • Craft videos from blogs, articles, and scripts

“Pictory is a massive time saver. While the ease of creating short-form clips from content, the auto-captioning, and transcription capabilities are great, what I’ve most enjoyed is the automatic ability for the tool to be able to elegantly trim out filler words like ums and ahs,” said Thorsten Linz, CEO of Innovare AI, a Pictory customer. “Not to mention the almost infinite choices of stock video clips and music tracks– this tool is a revolution,” he added.

Pictory’s innovation is powered by Artificial intelligence (AI) to handle various video use cases such as extracting the key messages from long-form content, searching for the best visual to accompany a social post, selecting the best music track to pair with the video, for text-to-speech rendering, to transcribe a video, create video highlights, and more.

“Pictory not only empowers the content creators of the rapidly growing creator economy, but also immensely boosts the productivity of enterprise marketers while saving costs,” said Vikram Chalana, CEO of Pictory. “Pictory’s AI-powered automation is a game-changer for marketers & content creators as they can repurpose existing long-form content such as webinars, podcasts, and blogs into several dozens of short videos for social media in minutes. 5000+ global customers is a strong testament to the immense value Pictory delivers to customers,” he added.

Learn more about Pictory and get a free no-obligation trial at http://www.pictory.ai.

About Pictory
Pictory is an AI-powered video solution that empowers content creators and marketers to edit and produce engaging videos automatically in minutes and at scale. Over 5000 customers globally utilize the power of Pictory to create video highlights, edit videos using text, add captions to videos, repurpose existing long-form content such as webinars, podcasts, blogs into social snippets. The company is run by a seasoned management team with years of marketing and AI technology experience and is backed by world-class investors and a team of strategic advisors from the industry. Learn more at http://www.pictory.ai.

Using AI to Search the Best Visuals for Article to Video

In the last two posts on Using AI to Extract Key Messages from Your Blog for Social Media – Part I and Part II, we explored how the power of AI can be helpful in converting your lengthy write-up into an effective summary. Let’s kick this up a notch.

Words are great, but as they say, a picture is worth 1000 words. So, what if we take this great summary and enhance it with captivating visuals to go along with the words. And then stitch the summarized words with matched visuals into a video accompanied with suitable audio? The richness that comes with a video combining visuals, audio and words is indisputable. But, how realistic is the way to accomplish this? Can this be done at scale? And can it be done automatically and seamlessly? Let’s dig deeper.

As discussed in the previous post on blog summarization, Pictory will read the article and reveal to you a collection of sentences that each account for one scene in the future video.

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Entity Recognition

Pictory begins this process by finding the most relevant keywords in the sentence. To find the keywords, Pictory focuses on the entities within the sentence. For this, Pictory uses an algorithm, where the input is the sentence, and the output is a set of entities present in the sentence. Sentences vary in length and the number of entities – the key is to find the entity that is the closest to the context of not only the stand-alone sentence, but also the entire article.

Words are great, but accompanying them with appropriate visuals can create magic

Adding Article Context

Suppose the sentence is “The corona virus spreads from bats.” In this sentence, the entities are “bats” and “corona virus” – the two nouns. Now the task is to find one visual that encompasses the core purpose of this sentence. So which entity would we select as the search keyword to find that one visual for – bats or the virus? This is where the context of the entire article comes into play. If the article’s key message is centered around the corona virus, we would need to select the “corona virus” entity to find the appropriate visual. On the other hand, if the focus of the article is to discuss different kinds of animals that spread various diseases, we would need to choose “bats” as the entity to find the suitable visual. This is exactly the thought process that Pictory’s AI goes through in order to choose an entity for each sentence from the list of entities extracted from each sentence.

Finding the Best Visuals 

When finding a visual, Pictory has access to a plethora of visual choices from the millions of stock visuals (image and videos) available within media platforms such as ShutterStock, Pixabay, Storyblocks etc., that the tool utilizes. Choices are great, but the task is to find one best fit match. So, let’s say that one keyword for that sentence is “corona virus”. This will be the search term for the media content platforms. When the term “corona virus” is looked up, a range of visuals appear – ones with bats, ones with solely the virus, ones with human associated with the virus, etc. The task is now to decide which variation of the visual is best for the sentence.

Pictory calculates the cosine similarity between the vector of the description and the vector of the entire article in order to find the best visual suited to the article’s context.

Pictory again harnesses the power of vector mapping to do so. Let’s take a look at what this means. So, each of these stock images or videos has a particular description (tags) associated with it. This is a description of the content in the medium. Pictory extracts the descriptions associated with the top visuals that are a potential match to the keyword. Pictory calculates the cosine similarity between the vector of the description and the vector of the entire article in order to find the best visual suited to the article’s context. Cosine similarity is derived via a mathematical formula, which is applied to the vector. Every visual would have a cosine score, and Pictory then sorts the visuals based on the score and the highest match (1 being the best) visual is ultimately selected.

Customizing your choices

Now, while the process described above works most times, there are always cases out of the ordinary. What if the user isn’t happy with the visual the tool selects? What if the user wants to use a custom visual?

Pictory utilizes computer-vision based enhancement to tackle this. Suppose a user wants to alter the visual that Pictory has chosen for a particular scene. The user can either perform a manual search on Pictory, or can input their own image into the platform. In the case of the latter, Pictory utilizes computer vision to obtain keywords that describe components of the image. Thereafter, Pictory repeats the process detailed in the previous sections to obtain visuals from those keywords to reveal to the user, to ensure the user has several options to choose from if they desire to do so.

In other AI applications, the power of Machine Learning can also be utilized to take in specifications for image quality and/or size to further comb through via that lens. Systems can harness collaborative filtering, a method to help make predictions about user interests through collective preference data from several users, to further enhance the visual output. Not only can AI do this, but it can also create captivating visuals from scratch through Generative Adversarial Networks (GANs) to add a uniqueness factor to the visuals. 

Summary 

In summary, using AI to find the best visuals for creating a video from an article involves the following steps: 

(1) Find the best keywords/entities associated with the context of the sentence.
(2) Use the keyword to find appropriate visual choices from available image platforms along with description for the visuals.
(3)  Select one visual based on the description mapping to the context of the entire article.

Marketing your webinar with short clips

Now that you’ve recorded your webinar and even posted on YouTube and social, what now?

How do you promote it so you get even more views? One of the best material to promote your webinar is several short clips representing the highlights of your webinar. These short highlight videos can be sent by email or shared over your various social channels.

These short clips are more likely to be watched and shared on social media than the entire webinar. The short clips serve as teasers that can be used to attract the viewer to watch the entire webinar recording

LinkedIn recommends showing what you want your audience to see in the first 10 seconds of the video and keeping videos under 30 seconds long. 

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Engaging your creative team

Extracting short clips from your webinar, however, can be a tedious, time-consuming, and expensive process. It may involve you watching the webinar multiple times, identifying the beginning and ending-time stamps of the “interesting moments” in the webinar, sharing all that with your video editor, and waiting.

Video editors in most organizations are part of the creative team of specialists who are the most sought-after resources today. Their backlogs are full of video creation and video editing requests from the entire organization. Thus, your request for creating clips from your webinar may end up sitting in a queue for weeks.

Leveraging the Power of AI

What if extracting short interesting clips from your webinar was as easy as highlighting sentences in a word document? Pictory’s new highlighting features lets you do just that.

1. Upload your webinar recording to Pictory. Pictory’s AI engine transcribes the audio track of the webinar and extracts that into text.

2. Extract the most consequential soundbites. Our AI engine help the most unique sentences on the transcript. You can manually fine tune the AI results.  

3. Add bumpers and logos. Pictory automatically adds your logo, branded intro and outro, and captions in your branded colors and fonts to your video.

Create one clip or many clips from a single webinar and generate them as MP4 files.

With Pictory, you can do all that in a matter of minutes.

Free up your video editing team so that they can focus on the high-production quality videos while you, the content creator, can focus on the task of generating high-frequency videos for social media. 

Interested in live demo of Pictory for post-production of your videos? Please get in touch with us today. Interested in taking it for a spin? Please sign-up for a free trial today. 

Using AI to Extract Key Messages From Your Blog For Social Media – Part 2

In the previous article, we explored the need to utilize AI to summarize blogs for social media and got an introduction to aspects of machine-automated summarization. Now let’s dig deeper to understand how this summarization is actually done. There are two main approaches to automatic summarization: extractive and abstractive. Extractive summarization, at a high level, is a technique that allows the machine to identify key phrases from the article and combine them to output a summary that retains the original message.

Word Embeddings

Suppose you have a URL that links to a thousand-word blog article. The first step for the algorithm is to extract the entire blog, which is done through web scraping. The next goal is to break down the article into individual sentences, which can be achieved through Natural Language Processing libraries such as spaCy and NLTK. Next, these sentences are input into a language model. One such model is BERT, an advanced NLP model. The BERT model is trained on a large corpus of data, in order to make it more intelligent and accurate. The BERT model creates word embeddings internally. These embeddings are essentially a numerical form of each word, in which words are converted into vectors based on the similarity of the words in context of the blog. For example, words like Russia and Putin would be numerically close. This transformation from word to number is performed to ensure that the machine can understand these words in context, as computers can only comprehend numerical data. 

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Sentence Embeddings

Well, fortunately there is a much more powerful, faster, and more efficient solution. Enter Artificial Intelligence.

Thanks to the rising power of Artificial Intelligence, specifically Machine Learning and Natural Language Processing, robust algorithms can perform text summarization within moments and can extract key messages from any given blog to produce a condensed version that accurately conveys crucial information.

And in our modern society, with the rise of big data and AI, there are companies that specialize in creating effective tools that can utilize NLP techniques like these to perform text summarization. One such tool is Pictory.

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Summarization Types


Extractive summarization is a fairly common method of text summarization, but there are also other techniques involved. One such technique, as mentioned briefly before, is abstractive summarization,

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In extractive summarization, the machine paraphrases the source document and creates new phrases/sentences that convey the most critical information from the text. This is extremely similar to how a human reads a document and explains key messages in his or her own words. Abstractive summarization is commonly applied in deep learning situations as it can surpass the grammatical mistakes that extractive summarization sometimes makes. Although abstractive has its benefits, it is often more difficult to develop than extractive, a key reason for the increasingly common use of extractive summarization as the text summarization approach.

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Summary
So, we just saw how machines can utilize the power of AI, ML, and NLP to accurately and quickly scan through large articles, extract the most important elements of each article, and output a condensed, readable form retaining the most crucial themes. This not only helps society take advantage of the expansive amounts of big data available, but also saves heaps of time and manual labor if individuals had to perform continual acts of text summarization. Now here, we’ve seen how AI can create a summary of a blog, which comes in handy due to the common role of blogs as a means to convey information to the public, especially in terms of social media posts. But is there a way that we can harness the power of AI to make our social posts even more captivating and easy to understand, perhaps by enhancing the post with a visual that relates to the key message of the post? Well, tune in to the next blog to find out, because that is exactly what we’ll be exploring there.