Video To Text Transcription For Your Business Meetings

The digitization of the workplace has revolutionized business operations and has made it possible for people to connect, share, and collaborate in ways they never thought possible. It created the opportunity for remote work by using video conferencing as the backbone for synchronous communication. With video conferencing becoming more mainstream, the use of traditional audio-only phone calls has gradually diminished. With video, we can now demo products, share marketing materials, annotate on screens, and even use a digital whiteboard with shared video. These enhancements don't stop there; with new advances in AI, it is now possible to process video into text. Once it's in text format, computers can help analyze and derive insights from conversations. This article explores video to text transcription and how it can improve communication and understanding across a company. 

Have you ever been to a video conference where suddenly the audio doesn't match up to the mouth movements? This is because video conferencing services like Zoom, Google Meet, and Microsoft Teams have audio and video streams that combine to provide a cohesive communication experience. When the glitch occurs, it shows how these data streams are entirely separate. Since video and audio streams have different characteristics, extracting text from a video call requires other AI pipelines with distinct models.

Text transcription pipeline, required by audio data, includes acoustic speech recognition, speaker identification, speaker separation, and several other AI models to create a text transcript from which a person can get value. 

Video pipeline, on the other hand, can vary in its components based on the desired output. If the goal is to understand the content displayed on screens, optical character recognition (OCR) technology is needed. OCR is the same technology used to extract data from images of receipts; the objective of the model is to remove the text from a photo and turn it into machine-readable text. 

In short, video to text doesn't just mean generating a call transcript; that's only half the data analysis. A complete video to text analysis should also be analyzing the video. Have you ever watched a presentation without being able to read the slides? It can be a challenge. A complete video to text pipeline will generate a text transcript and highlight screens shown in the meeting. 

A video recording is excellent for introspection, but it's hard to navigate the most critical moments of the call without searchable text. It's also impossible to obtain value or efficiently analyze the call. Here are five benefits of video to text conversion:

1. Shareability of the Conversation:

Call recordings are an asset. So much gets lost when paraphrasing and trying to relay information to another party. A text transcript tied to the video allows users to highlight the quote from a call and click it to create a clip. The clip is now a shareable asset and can transfer statements directly from the primary source meaning nothing gets lost in translation.

2. Transcript Search:

Adding text representation to the video stream makes it possible to search all instances of a particular word or phrase from a given meeting. This allows anyone to search by topic to get an understanding of the message conveyed. 

3. Topic and Phrase Tracking:

Companies have a significant volume of video calls making it impossible to understand the frequency of a feature request, type of support problem, or a particular objection. Video to machine-readable text unlocks analytical capability and opens up the potential to track trends over time. These new insights were previously impossible to generate. 

4. Profile Creation:

Customers are demanding experiences that are more customized and relevant to their needs. Text-based extractions highlighting critical moments with a customer enable a company to build a richer profile, tune their messaging, and speak their customer's language. 

5. Materials Analysis:

Marketing and sales teams work tirelessly to create customer-facing content that resonates. Unfortunately, a company's message doesn't always translate, creating confusion on the latest sales materials and making reps fall back on an older version of the sales assets. With video to text extraction, it's possible to understand which materials show up in client meetings, how frequently they appear on screen, and what a customer says when a particular slide or demo is shared. 

The simplest way to ingest content is using a URL to the video you want to process. Platforms such as Hyperia support video links from YouTube and Vimeo, making any video from these sites quickly digestible. All you have to do is copy-paste the video URL into the software to gather information and process the transcript from the video. 

When researching, it's essential to get to know your client and what the founder or company stands for. Youtube and Vimeo can be significant assets when watching interviews, podcasts, or any posted company videos on the client. Although, most of these videos can run anywhere from thirty minutes to over an hour long. It's unrealistic that anyone would have the time to prepare for hours before an important meeting, yet it's essential to do your research and understand your client’s directives and history. Using a video-to-text solution solves this issue with its video to text technology to highlight key points throughout the video. Having to only focus on the main speaker makes finding insights and cutting out unimportant details simple, allowing you to be time-efficient before a client meeting providing more knowledge of the client than they would initially expect.

AI Notetaker Joins Meetings

Being in a client meeting requires lots of attention to detail and being organized in the discussion. Forgetting essential insights, not following up on tasks, and having a jumbled mess of notes make it hard to reach client goals. Connecting your calendar to Hyperia will automatically send the notetaker to the calls you want to record and transcribe, making common mistakes go out the window. With the rise of AI Meeting Assistants, anyone can dive deeper and uncover insights they might have never been able to witness themselves.

Cloud Recordings Sync with Zoom

Companies today use a wide variety of communications platforms and video conferencing tools to stay in contact. With Zoom being one of the most popular platforms. Services that offer a native integration into Zoom enable a 2 way sync with your Zoom cloud data. Whether the recording is a client meeting, presentation, or a daily stand-up with the team, video to text transcription services can make these dialogues into searchable content.

Zapier integration

Many companies have previously recorded video assets sitting in a Google Drive or Dropbox folder. It's easy to look back and see who you were chatting with and how long the session took, but you can't find anything special about the interaction. This data has value but it's hard to extract any insights. Using your memory isn't enough, especially when working remotely, as it's not as accessible for a client or another team member on the call to re-jog your memory when not in person. Zapier Integration allows you to convert any already stored videos in Google Meet, OneDrive, Dropbox, and Box so you can never erase your memory.

Hyperia will ingest your recordings and generate a fully searchable text representation of the video call, but the service provides much more than a transcript:

• Searchable Transcript: It's possible to search the transcript for anything said in the meeting, but Hyperia also has a power-search option that suggests abstracted topics, sentence types (question, task, opinion), sentiment, or participants. 

• Timeline: The call viewer has a timeline view of your meeting that breaks down each participant's talk time, hiding or highlighting matches of your search terms. The timeline also includes a breakdown of the summarized sections in the Meeting Minutes view and any screens shared during the meeting.

• Screenshots: Never ask for a copy of a deck in the meeting. Hyperia takes a screenshot for every document or web page shown on the screen, so users use visual cues to navigate a moment on the call. 

• Meeting Minutes: Reading a call transcript is challenging; Hyperia summarizes call recordings, organizing them down into sections of summarized bullet points. Hyperia also generates section titles so you can easily navigate through a table of contents.

• Tags and Topics: Hyperia empowers the organization to track custom items like competitor mentions or features requests. The engine rolls up the topics and tags, making them viewable and searchable in aggregate. Now you can examine the frequency and trends and understand who is speaking about the item the most.

• Contact Pages: We must understand our customer's needs. We make this accessible by aggregating communication history onto a contact page to analyze your interactions and critical moments across calls. 

• Team pages: Similar to a contact page, only an analysis of your team. Now you can track activity and make sure your reps are staying on message. 

As the use of video conferencing skyrockets, it opens up the opportunity to capture this digital medium and use it in previously unthinkable ways. The future of work includes automatic capture and processing of video to text. We'll soon see that every advanced company will have an AI notetaker in their video conference calls, removing the struggle of taking notes and creating a knowledge base that accurately represents the organization's communication history.