ElevenLabs is a voice synthesis company offering advanced tools to create lifelike and customizable digital voices.
Deepgram offers advanced speech recognition services powered by deep learning for accurate transcription.
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ElevenLabs is an AI voice generator that turns text into realistic spoken audio, ideal for enhancing videos, creating audiobooks, or making websites more accessible with audio features. It offers you the flexibility to choose from over 1300 voices in multiple languages, including prominent ones like Japanese, Russian, German, Spanish, French, Italian, Portuguese, Arabic, Hindi, Tagalog, Bengali, Urdu, and Korean, tailoring each voiceover to the specific needs of your project.
The process is straightforward: you input text, select a voice that matches the intended tone and style, and customize the delivery by adjusting the pace, tone, and emotional inflection. This capability ensures that your audio output is not just a bland reproduction of the text but a dynamic and engaging listening experience.
Whether it’s for educational content, customer support interfaces, or personalized marketing campaigns, ElevenLabs provides a robust set of tools for creating diverse and inclusive audio solutions. This makes it easier for you to expand your reach and connect with a broader audience by transforming your written materials into professional-quality voiceovers.
The platform’s low-latency TTS API allows for smooth integration into applications and services, enabling real-time voice synthesis. This is especially useful for interactive scenarios like virtual assistants and customer service bots, where prompt and efficient voice interaction is important. This capability ensures that the voices not only sound natural but also respond swiftly and seamlessly in real-time environments.
Website: | https://elevenlabs.io/ |
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Founded in: | 2022 |
Founder: | Piotr Dąbkowski, Mateusz Staniszewski |
CEO: | Mati Staniszewski |
Address: | 251 Little Falls Drive, New York, New York, USA |
Email: | [email protected] |
Live Chat: | Yes |
Deepgram is a cutting-edge voice recognition platform that uses artificial intelligence to instantly transcribe, search, and analyze spoken language. It allows you to turn audio into accurate, searchable text, making it easier to access and analyze information spoken in various settings.
Users of Deepgram can transcribe meetings, create live subtitles for broadcasts, and improve voice interaction systems for customer service. Its ability to support multiple languages and dialects enables global reach, while its adaptive AI voice recognition models are designed to cater to specific content, from casual conversations to technical discussions.
Key features of Deepgram include a broad selection of voice models and extensive language support. Its TTS API helps developers integrate these capabilities into existing applications, automating tasks like transcription and enabling real-time voice analysis. This integration is essential for apps that require live customer interaction or content management.
Deepgram’s platform also excels in scalability, handling everything from small projects to large-scale enterprise needs with ease. The technology is built to process and analyze large volumes of audio data efficiently, providing real-time insights that are crucial for decision-making and user engagement.
Overall, Deepgram offers a practical and versatile tool for converting speech to text, enhancing user engagement, and extracting insights from voice data, helping businesses and developers streamline processes and improve accessibility.
Website: | https://deepgram.com/ |
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Founded in: | 2015 |
Founder: | Scott Stephenson |
CEO: | Scott Stephenson |
Address: | 548 Market St. Suite 25104, San Francisco, California, USA |
Live Chat: | No |
We've compared price, features, voice samples, and more, and ElevenLabs is a better alternative to Deepgram
If you are looking to invest in either ElevenLabs or Deepgram and are planning to scale, then it’s important to know who provides a comprehensive product suite.
Compare ElevenLabs vs Deepgram subscription plans and pricing. Please check each website for the most updated information.
Monthly Price | Yearly Price | |
Free | $0 | 0 |
Starter | $1 | $50 |
Creator | $11 | $220 |
Pro | $99 |
Monthly Price | Yearly Price | |
Pay As You Go | $200 Credit | |
Growth | - | $4k - $10k |
Enterprise | - | Contact Sales |
A side-by-side comparison of ElevenLabs vs Deepgram features
ElevenLabs Features |
Deepgram Features |
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Voice CloningElevenLabs allows users to clone voices from a small sample of audio. This feature enables the creation of highly accurate and natural-sounding synthetic voices that closely mimic the original speaker’s intonation and emotion, making it ideal for personalizing digital interactions or recreating voices for accessibility purposes. |
Custom ModelsDeepgram allows users to train custom speech recognition models tailored to their specific business needs and terminologies. This customization enhances the accuracy of transcriptions in specialized fields like medical, legal, or technical industries, where specific vocabulary and phrases are common. |
High-Quality Speech SynthesisThe platform produces exceptionally clear and lifelike synthetic speech, which is crucial for applications where clarity and natural sound are paramount, such as audiobooks, podcasts, and virtual assistants. |
Real-time TranscriptionDeepgram provides real-time speech-to-text conversion, enabling immediate transcription of live audio streams. This feature is particularly valuable for applications such as live captioning, real-time communication aids, or immediate transcription needs during meetings and conferences. |
Multilingual CapabilitiesElevenLabs supports multiple languages, providing a broad scope for global applications. This multilingual support is essential for businesses and content creators looking to reach international audiences with high-quality voice synthesis. |
Multi-language SupportThe platform supports multiple languages, making it suitable for global companies and multilingual applications. This feature helps businesses cater to diverse linguistic groups without needing separate speech recognition solutions. |
Real-Time ProcessingThe ability to process audio and generate speech in real-time is a significant advantage of ElevenLabs. This feature is particularly useful for live broadcasts, customer service interactions, and other applications where immediate speech output is necessary. |
Keyword Spotting and Intent RecognitionDeepgram's advanced features include keyword spotting and intent recognition, which allow users to identify and react to specific words or phrases during speech recognition. This is particularly useful for voice-controlled applications and analyzing customer interactions for insights. |
Easy IntegrationElevenLabs offers APIs that facilitate easy integration with other software and platforms. This compatibility makes it simpler for developers to incorporate advanced voice synthesis capabilities into their applications, enhancing user experience and functionality. |
Scalability and API IntegrationDeepgram is designed to be highly scalable, capable of handling large volumes of audio processing without compromising on speed or accuracy. Its robust API integration allows for easy implementation into existing systems and workflows, facilitating automation and efficiency improvements in various business processes. |
Most apps in this space have similar use cases but you can compare ElevenLabs vs Deepgram use cases if you were looking for something unique.
ElevenLabs Use Cases |
Deepgram Use Cases |
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Text to Speech for VideosConverts written text into spoken voice for video narrations, making it easy to add professional-sounding voiceovers to any video. |
Speech AnalyticsDeepgram's speech analytics tools help businesses understand customer sentiments and trends by converting speech into actionable insights. |
Text to Speech for GamingCreate unique voices for characters in video games, allowing for diverse dialogues and storylines without the need for multiple voice actors. |
Media TranscriptionIt quickly converts spoken content from media like podcasts and interviews into accurate, searchable text, making it easier to access and analyze. |
Text to Speech for AudiobooksTransforms any text into spoken words to create audiobooks, allowing for quick production without needing human narration. |
Conversational AIThis technology empowers AI applications to interact naturally with users, improving customer service and engagement through voice recognition. |
Text to Speech for ChatbotsGives chatbots a realistic voice so they can talk to users, making automated customer service more friendly and human-like. |
Contact CentersDeepgram enhances customer support by transcribing and analyzing calls in real time, helping agents provide better, more personalized responses. |
Text to Speech for PresentationLets you add a voice to presentations, turning slideshows into narrated guides that keep the audience engaged. |
Medical TranscriptionIt provides fast and accurate transcription of medical dictations, aiding healthcare professionals by streamlining documentation and record-keeping. |
Text to Speech for Speech for Tiktok VideosQuickly generates voiceovers for TikTok videos, helping creators add narration that captures viewers' attention. |
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Text to Speech for WordpressTurns wordpress blog posts into spoken audio, making it easier for visitors to consume content by listening, especially while multitasking. |
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Text to Speech & Voice Changer in DiscordChanges users' voices in real-time on Discord, perfect for gaming and adding fun effects during conversations. |
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Text to Speech for AI Game CharactersEquip AI-driven characters in video games with realistic speech, enabling dynamic interactions based on player choices, and reducing repetitive, canned responses. |
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Text to Speech for Virtual RealityCreates voices that complement virtual reality settings, making experiences more immersive with matching audio cues. |
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Text to Speech for Virtual RealityIntegrates spoken dialogue into games made with Unity, adding depth to storytelling and player interactions. |
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Text to Speech for Unity Game DevelopmentEmploys voice synthesis for characters in games developed using Unreal Engine, enriching gameplay with lifelike sound. |
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Text to Speech for Unreal Engine GamesHelps people with visual impairments or reading challenges by converting text on screens into audible speech. |
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Text to Speech for AccessibilitySimplify patient interactions with healthcare applications by using voice guidance for navigation and instruction, reducing the cognitive load on users. |
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Text to Speech for HealthcareEnhances apps built with Twilio by allowing them to speak to users, useful for reminders and automated messaging. |
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Text to Speech for Integration for TwilioCreate YouTube videos with AI-narrated audio tracks to provide consistent and clear voiceovers, enhancing the professional quality of video content. |
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Text to Speech for Youtube VideosProduce podcast episodes from written content with minimal effort, using AI to voice articles, blogs, or scripted dialogues, maintaining a natural and engaging listening experience. |
See which companies trust ElevenLabs & Deepgram for all their generative AI needs.
See how ElevenLabs vs Deepgram stack up by what users think of them.
if you're searching for a platform that will make your marketing different, without compromising on quality and saving you time, look no further th...
This tool amaze me with Variety of Voice notes, with the help of this tool I can write my blogpost in voice notes with Attractive Voice. My prof...
the user inter face is easy and the audio quality is really good.
he app will occasionally return buggy audio. For example, I very recently input a sentence written in English and it churned out what I assume was Spanish? I tried multiple generations, and the result was the same. The bugs are intermittent, but still notable.
We've been thrilled with Deepgram at PatientNotes. We use it for transcribing medical conversations. We evaluated Whisper and other ASR tools and Deepgram won for it's speed and accuracy.
I was involved in a Hackathon where the goal was to provide realtime translation in a setting like a church service to participants who were not fluent in the language being spoken. We realized pretty quickly that the most critical piece of accomplishing this was to have accurate transcripts from the original audio stream - without that the project was doomed. After a bit of research, we decided to use Deepgram due to its ease of integration, the configurability, and the ability to work with multiple input languages. There also were quite a few helpful examples and tutorials to get us started quickly. We ended up accomplishing our goals with Deepgram and ended up winning the Hackathon with our project.
Deepgram knows who their customers are, developers or tech decision-makers in a company, so their site is made for them. It is so easy to understand everything, implement it quickly in any app and easy to find all information in the Documentation. I would use again and recommend it to others.
Very minor issues: Usage monitoring could be a little better. I've also found a few spots where the documentation was out-of-date or vague.
Couldnt easily find the price for the tool. If I saw quickly it could be cheaper than our current tool I would keep on trying. I would like models that can perform with music in the background
The response time of speech to text is a little high. Hindi support would be helpful too.