Gladia

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Gladia is a cutting-edge AI tool designed for audio transcription, translation, and intelligence, streamlining data processing for businesses.

Gladia Image

Gladia Image

How Gladia can help you:

Provides fast and highly accurate audio and video transcription, including speaker diarization and code-switching.
Enables translation from and to 99 languages with near real-time speech-to-text capabilities.
Offers a range of audio intelligence add-ons for in-depth insights, such as word-level timestamps and summarization.
Supports hosting in the cloud, on-premise, or air gap, ensuring 100% data safety in compliance with EU and US privacy regulations.

Why choose Gladia: Key features

Powered by optimized Whisper ASR for superior performance.
Easy integration with any tech stack, requiring no AI expertise or setup costs.
Reduces AI infrastructure costs by leveraging proprietary know-how for efficient hardware use.
Regular software upgrades provided at no extra cost, maintaining a technical edge.
Pay-as-you-go system for easy scaling to meet increasing processing needs.

Who should choose Gladia:

Content and media companies needing transcription, subtitling, and translation services.
Businesses looking to enhance virtual meetings with transcriptions and captions.
Workspaces seeking solutions for improved collaboration through translation and knowledge management.
Call centers wanting to improve customer experience and compliance through insightful call transcripts.
Developers aiming to embed advanced AI into their products effortlessly.

About Gladia

Website

https://www.gladia.io

Release Date

March 2024

Pricing

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Related fields

Categories

Transcription, Translation, Email assistant, Productivity, Deep learning, Engineering, Predictive analysis, Natural language processing, Creative and design

Related News

D-ID launches an AI video translation tool that includes voice cloning and lip sync

AI video creation platform D-ID is the latest company to ship a tool for translating videos into other languages using AI technologies. However, in this case, D-ID also clones the speaker's voice and changes their lip movements to match the translated words as part of the AI editing process. The technology stems from D-ID's earlier work -- which you may recall from the viral trend a few years ago where users were animating their older family photos, and later those photos were able to speak. On the back of that success, the startup closed on $25 million in Series B fundraising in 2022 with an eye on serving its increasing number of enterprise customers in the U.S. who were using its technology to make AI-powered videos. With the company's now-launched AI Video Translate tech, currently being offered to D-ID subscribers for free, creators can automatically translate their videos into other languages, to help them expand their reach. In total, there are 30 languages currently available, including Arabic, Mandarin, Japanese, Hindi, Spanish and French, among others. A D-ID subscription starts at $56 per year for its cheapest plan and the smallest number of credits to use towards AI features and then goes up to $1,293 per year before shifting to enterprise pricing. D-ID suggests the new AI video technology could help customers save on localization costs when scaling their campaigns to a global audience in areas like marketing, entertainment, and social media. The technology will compete with other solutions for both dubbing and AI video. For years, dubbing technologies have made it easier for video viewers to listen to audio in their own language but were often inaccessible to smaller creators. That's been changing as companies improved access to technology. For example. YouTube released a multi-language audio feature designed to help its creators connect with a wider audience by translating their videos into other languages. Well-known creator Mr. Beast (Jimmy Donaldson) was among the early adopters, having used the tech to bring several of his popular videos to 11 more languages. With AI, the ability to create, translate, or clone voices is also expanding. Microsoft this year announced it would use AI to translate and dub YouTube videos and others, while you watch. In July, creator platform Vimeo unveiled tools to not only translate audio and captions but to do so by replicating the speaker's voice with AI technologies. Numerous companies also offer voice cloning or AI translation tools (or sometimes, both), including those from Descript, ElevenLabs, Speechify, Veed, Camb.ai, Captions.ai, and Akool, to name a few, as well as tools that let you create videos using AI avatars that can speak dozens of languages, like those from HeyGen, Deepbrain AI and others. Dubbing and lip sync AI libraries, like wav2lip, have also made it easier for startups to build these sorts of tools while pitching to creators that they make it easier, and perhaps more affordable, to use AI technology. D-ID says its new Video Translation technology will be available through D-ID Studio and its API. A one-month trial is being offered and further demos are on its website.

TechCrunch

Wed, 21 Aug, 8:00 PM UTC

Tech that! D-ID's new AI tool can translate videos, clone your voice in seconds

D-ID's new AI video translation tool offers seamless multilingual video creation with voice cloning and lip-syncing features, allowing businesses and creators to break language barriers and engage global audiences effectively. The D-ID AI tool is a cost-efficient solution for producing culturally resonant content across multiple languages. Israel-based AI startup D-ID has launched an innovative video translation tool that addresses these challenges head-on. Named D-ID Video Translate, this cutting-edge tool allows users to translate videos into various languages while maintaining the original speaker's voice. Even more impressively, it synchronizes lip movements to match the translated language, providing a seamless viewing experience. In 2024, video content dominates the digital landscape, becoming the most effective way to connect with audiences worldwide. However, the challenge lies not just in creating engaging content, but also in ensuring that it resonates with people regardless of their language or location. Traditional video translation methods often fall short, struggling with cultural nuances and time-consuming production processes. This is where D-ID's new AI video translation tool steps in. The D-ID AI Tool is a game-changer for content creators and businesses aiming for global reach. Whether you're promoting a brand, educating an audience, or engaging with customers, this tool ensures that your message is understood by everyone, regardless of language barriers. The D-ID video translation tool is particularly beneficial in the education sector, where it can translate courses into multiple languages, including Arabic, Chinese, English, French, German, Hindi, Japanese, Korean, and more. This technology can also help corporations tackle localization challenges, enabling them to save time and money while reaching a broader audience. Credit: D-ID While there are other voice clone AI tools and video translation options available, D-ID stands out by offering a solution that caters to both large organizations and individual creators. Competitors like ElevenLabs, Speechify, and Captions.ai also provide similar services, but D-ID's focus on natural user interfaces and digital human interaction sets it apart. Currently available in beta, the D-ID Video Translate tool can be accessed on the web. Although D-ID has iOS and Android apps, this feature is not yet supported on mobile devices. The tool is free for existing subscribers, with various subscription plans available for new users. D-ID is leading the way in changing how we interact with and create content using AI. Their platform uses Natural User Interface (NUI) technology to turn images, text, videos, audio, and voice into engaging Digital People, providing a truly immersive experience. By combining facial synthesis with deep learning, D-ID offers interactive AI experiences in many languages, enhancing how we connect and create online. Their technology helps businesses improve customer experience, marketing, and sales, while also supporting content creators worldwide. Founded by CEO Gil Perry, Sella Blondheim and Eliran Kuta in 2017 and backed by top venture capital firms, D-ID has enabled the creation of over 150 million AI videos using their easy-to-use Creative Reality studio and integrations. More than 250,000 developers are currently using the D-ID API to build innovative solutions. Some of D-ID's recent clients include Deutsche Telekom, PWC, Deloitte, Burda Media, AXA Insurance, and Gameloft, who have used their platform to craft unique AI avatar experiences. D-ID's platform is available through a self-service studio, API, or integrations, allowing users to turn still photos into personalized streaming videos, offering a fresh way for businesses to connect with customers. Their tools make it possible to create lifelike digital humans and animations from text, significantly lowering the cost and complexity of video production on a large scale. Their customers include Fortune 500 companies, marketing agencies, production companies, social media platforms, top e-learning platforms, and content creators of all types.

IndiaTimes

Thu, 22 Aug, 6:03 PM UTC

Gladia Raises $16M for Multilingual Real-Time AI Transcription and Analytics

Gladia, a French AI startup, has secured $16 million in Series A funding to develop an advanced multilingual real-time audio transcription and analytics engine, aiming to revolutionize voice-first platforms across various industries.

4 Sources

Tue, 15 Oct, 4:07 PM UTC

Building complex gen AI models? This data platform wants to be your one-stop shop

Exclusive: Encord puts multimodal AI data - including audio - all in one platform. Data development platform Encord is going beyond business analysis to become "the world's only multimodal AI data development platform." On Thursday, the company announced new multi-modal data annotation capabilities for classifying audio and documents -- all in one interface. The update expands on Encord's existing support for medical, computer vision, and video data. Also: I've tested a lot of AI tools for work. These 4 actually help me get more done every day By now, AI chatbots and image generators are relatively commonplace. But it's much harder to generate convincing video or audio than it is to generate text. The AI industry is focused increasingly on multi-modal capabilities, especially with the release of features like ChatGPT's Voice Mode. To fine-tune an AI model, you need quality -- and sometimes hyper-specific -- data. Text-based data doesn't provide the nuance these complex models need, and accuracy is even more important in high-stakes contexts like medicine. Builders need platforms that can annotate and evaluate all kinds of data -- video, audio, images, graphs, reports, retail listings, PDFs, and more, ideally in one place. Several of Encord's clients use the platform for medical images like MRI scans to develop better models for assisting doctors. Having high-quality, well-annotated audio data helps build speech and emotion recognition models, and can even identify sounds. Video and audio AI products need increasingly sophisticated data support to achieve a human-like realism, whether in transcription or lip-syncing accuracy. For example, the AI text-to-video platform Synthesia uses Encord to develop training models for its lifelike AI avatars. Encord's update includes new annotation and curation features for documents, audio files, vision, and medical data. With multimodal annotation, AI teams can customize an interface to review and edit different file types side by side. Currently, different data types often are siloed across multiple services and platforms, adding time and costs to data annotation. Encord already supports key data annotation categories such as entity recognition, translation, summarization, text classification, and sentiment analysis. "It is time-consuming and often impossible for teams to gain visibility into large-scale datasets throughout model development due to a lack of integration and consistent interface to unify these siloed tools," the company said in the release. Also: Organizations face mounting pressure to accelerate AI plans, despite lack of ROI With Encord, AI teams can filter through their data to identify and curate exactly what they need to build a model. Its evaluation dashboard can also flag data that's hampering a model's performance so that teams can remove or replace it. "On average, Encord customers use 35% smaller data sets, which leads to models performing 20% more accurately," an Encord rep told ZDNET via email. In a demo, Encord co-founder and president Ulrik Stig Hansen told ZDNET that he sees the company's focus on quality and centralization as eventually enabling artificial general intelligence (AGI).

ZDNet

Thu, 14 Nov, 8:16 PM UTC

AI-Powered Transcription

Real-Time Transcription: Real-time transcription involves the immediate conversion of spoken content into written text with minimal delay. This type of transcription is ideal for live events, meetings, and webinars, where instant access to text is crucial for participants. Real-time transcription enhances accessibility and allows for immediate review and action. Post-Event Transcription: Post-event transcription is the process of transcribing audio or video recordings after an event has occurred. This type of transcription is commonly used for interviews, lectures, and conferences. It allows for detailed review and analysis of the content, making it useful for documentation and archival purposes. Human-Assisted AI Transcription: Human-assisted AI transcription combines automated transcription with human review to ensure higher accuracy. The AI performs the initial transcription, and human transcribers then review and correct any errors. This approach is beneficial for complex or technical content where precision is critical. Fully Automated AI Transcription: Fully automated AI transcription relies solely on machine learning algorithms and natural language processing to convert speech to text. It is fast and cost-effective, making it suitable for large volumes of content. However, it may not be as accurate as human-assisted transcription, especially with poor audio quality or heavy accents. Multilingual Transcription: Multilingual transcription services can transcribe audio in multiple languages. This type of transcription is essential for global businesses, media companies, and educational institutions that need to cater to diverse audiences. AI-powered tools can handle various languages and dialects, providing accurate transcriptions across different linguistic contexts. Transcription with Translation: Transcription with translation involves converting spoken content into text and then translating it into another language. This service is valuable for international conferences, multilingual media content, and global business communications. It ensures that content is accessible to a broader audience. Video Transcription: Video transcription converts the spoken content in videos into written text. This type of transcription is used for creating subtitles, improving video accessibility, and enhancing search engine optimization (SEO) for video content. It is widely used in media, entertainment, and online education.

Analytics Insight

Tue, 3 Dec, 6:03 AM UTC

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