Accueil
Blog
How VEED is streamlining video editing and subtitles with AI transcription

How VEED is streamlining video editing and subtitles with AI transcription

How VEED is streamlining video editing and subtitles with AI transcription
Published on
Jul 2024

User-generated content has become a cornerstone of the internet-driven economy. As part of this shift, various platforms have emerged to provide easy-to-use tools to create high-quality video content in a matter of minutes — with AI transcription playing a foundational role in their product development.

VEED is one of the leading editing platforms today, relying on Gladia’a transcription API to empower video content creators around the globe. Read on to find out which features they improved thanks to our API and the impact of speech-to-text on VEED’s roadmap, user engagement, and growth.

About Veed

VEED was founded in 2018 by Sabba Keynejad and Tim Mamedov with the aim of democratizing the visual content industry. To deliver on that vision, the company offers a video recording and editing platform that enables anyone to create high-quality video content in minutes without specialized skills.

Originally designed for individual content creators, VEED is currently expanding into the B2B segment, providing its services to communication professionals and the like.

With a staggering 10M active monthly users on its platform uploading one video every second, the company is delivering new features and expanding its user base across geographies.

VEED - Edite, grabe y transmita videos en vivo - En línea
Preview of VEED

Challenge

The ability to roll out new, value-adding features as part of its core offer, is among top strategic priorities for platforms like VEED when it comes to user acquisition and engagement.

Among the core VEED features today are automatic subtitles and editing tools like Magic Cut and Silence Removal. The editing toolkit allows users to automatically remove errors, pauses, and repetitive words from raw footage in a single click, transforming long, imperfect footage into short, punchy edits optimized for social channels.

All these features rely on Transcription as their core, so having an accurate, reliable provider capable of transcribing speech across languages was key.

The issue they encountered, however, was that a lot of existing alternatives didn’t provide satisfactory results on non-English languages based on internal benchmarks run by the VEED team to assess API providers.

Requirements

In this context, VEED was looking to deploy a high-quality transcription and audio intelligence API to integrate with its platform, based on the following specifications:

  • Accurate and fast transcription API, capable of handling large volumes of audio transcription at a scalable cost.
  • Language recognition and transcription beyond English, to serve the platform’s expanding global user base in countries like India, the Philippines, Brazil, Germany, and so on.
  • Top-level precision for word-level timestamps, with the start and end times of each word, detected perfectly, being an essential pre-requisite for video editing and subtitles generation.
  • Audio enhancement features, like the ability to remove background noise as part of the integration to improve the quality of transcription.
  • Customer support, including SALs and a dedicated Slack channel to address issues in real time and provide custom guidance.
  • Data security and compliance, such as SOC2, especially as the company expands into the B2B target segment with more stringent data requirements.

Solution

Enter Gladia! With Gladia, the VEED team was able to implement:

  • Subtitles in 21 languages with timestamps, generated in a matter of seconds, with a confidence score designed for users to review and edit if they need.
  • AI-powered editing tools, which remove silences, filler words, and repetitions in a video based on the time-stamped transcript to streamline the editing process
Preview of Auto Subtitles by VEED
Auto Subtitles by VEED

Impact & ROI

By working with the Gladia team to iterate and scale up, VEED’s team saw a noticeable impact on their own customers, from users praising the quality of the transcription to prospects converting specifically after trying it out.

Image with case study metrics
Quote from Kojo Hinson about Gladia

The team at VEED is continuing to explore the pssibilities that transcription brings to their AI product, and is now considering how they will leverage it in the future with upcoming features requiring advanced multilingual transcription and metadata extraction.

We're thrilled to be part of this amazing journey with them, and thank VEED for putting their trust in us! We look forward to partnering with more customers to tackle new challenges, and make speech AI more accessible to media companies worldwide.

Having read this case study, do you feel like Gladia could be the right fit for your business too?

Don't hesitate to contact our sales team to discuss this in more detail - or sign up directly below. Beyond video and podcast platforms, we cater to a range of use cases, including virtual meetings, call centers, workspace collaboration, and more.

About Gladia

At Gladia, we built an optimized version of Whisper in the form of an API,  adapted to real-life professional use cases and distinguished by exceptional accuracy, speed, extended multilingual capabilities, and state-of-the-art features, including speaker diarization, code-switching and word-level timestamps. Our latest model, Whisper-Zero, that removes hallucinations and improves accuracy across languages is available now.

Contact us

280
Your request has been registered
A problem occurred while submitting the form.

Read more

Case Studies

How VEED is streamlining video editing and subtitles with AI transcription

User-generated content has become a cornerstone of the internet-driven economy. As part of this shift, various platforms have emerged to provide easy-to-use tools to create high-quality video content in a matter of minutes — with AI transcription playing a foundational role in their product development.

Tutorials

How to build a speaker identification system for recorded online meetings

Virtual meeting recordings are becoming increasingly used as a source of valuable business knowledge. However, given the large amount of audio data produced in meetings by companies, getting the full value out of recorded meetings can be tricky.

Speech-To-Text

Should you trust WER?

Word Error Rate (WER) is a metric that evaluates the performance of ASR systems by analyzing the accuracy of speech-to-text results. WER metric allows developers, scientists, and researchers to assess ASR performance. A lower WER indicates better ASR performance, and vice versa. The assessment allows for optimizing the ASR technologies over time and helps to compare speech-to-text models and providers for commercial use.