PlayHT is an AI-driven text to speech platform that effortlessly converts written text into realistic, natural-sounding voiceovers. It’s designed to be user-friendly, allowing content creators to easily choose from a wide range of voices in any language and accent.
Whether you’re enhancing multimedia presentations, creating audiobooks, or expanding e-learning materials, PlayHT provides the tools you need to bring your projects to life. With advanced voice editing capabilities, you can customize your AI voice by adjusting the pitch, pauses, and speed.
PlayHT also goes beyond basic text to speech by offering the best AI voice cloning in this space. AI voice cloning allows users to create their own unique voice models, especially for brands who want a consistent vocal presence across their digital offerings, or for individuals looking to add a personal touch to their communications.
With PlayHT’s text to speech API, you can easily integrate with your existing workflows, facilitating the automatic transformation of text into speech for real-time applications. Developers can leverage this API to infuse apps with interactive voice responses and streamline processes in customer service or guided tours.
All in all, PlayHT provides a simple and affordable way to create ultra-realistic AI voiceovers for any type of use. With their fast-growing library of 907 voices available in 143 different languages, including major languages like German, Spanish, French, Japanese, Russian, Italian, Portuguese, Arabic, Hindi, Tagalog, , Bengali, Urdu,and Korean, this TTS tool makes it easy for you to create your own custom voice with just a few clicks.
Website: | https://play.ht/ |
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Founded in: | 2016 |
Founder: | Mahmoud Felfel, Hammad Ahmed |
CEO: | Hammad Syed |
Address: | 548 Market Street, San Francisco, California, USA |
Phone: | N/A |
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 PlayHT is a better alternative to Deepgram.
If you are looking to invest in either PlayHT or Deepgram and are planning to scale, then it’s important to know who provides a comprehensive product suite.
Compare PlayHT vs Deepgram subscription plans and pricing. Please check each website for the most updated information.
Monthly Price | Yearly Price | |
Free Plan | $0 | 0 |
Creator | $39 | $31 |
Unlimited | $99 | $29 |
Enterprise | Contact Support | Contact Support |
Monthly Price | Yearly Price | |
Pay As You Go | $200 Credit | |
Growth | - | $4k - $10k |
Enterprise | - | Contact Sales |
A side-by-side comparison of PlayHT vs Deepgram features
PlayHT Features |
Deepgram Features |
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Conversational VoicesIdeal for creating content for entertainment videos, podcasts, and audiobooks. |
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. |
Explainer VoicePerfect for use in entertainment videos, explainer videos, podcasts, and audiobooks. |
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. |
Local AccentsCustomize your entertainment videos, advertisements, and audiobooks for specific regions. |
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. |
Character VoicesIdeal for gaming, creative content, and advertising. |
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. |
Narrative VoicesIdeal for audiobooks, explanatory videos, and documentaries. |
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. |
Children VoicesIdeal for audiobooks, explanatory videos, and e-learning content. |
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EmotionsPerfect for gaming, imaginative videos, and advertisements. |
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Training VoicesAppropriate for training videos, learning and development (L&D), and e-learning. |
Most apps in this space have similar use cases but you can compare PlayHT vs Deepgram use cases if you were looking for something unique.
PlayHT Use Cases |
Deepgram Use Cases |
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VideosEnhance your videos with high-quality, realistic AI-generated voices that capture your audience's attention. |
Speech AnalyticsDeepgram's speech analytics tools help businesses understand customer sentiments and trends by converting speech into actionable insights. |
Elearning and TrainingCreate engaging educational content with diverse and clear voiceovers to facilitate elearning and training. |
Media TranscriptionIt quickly converts spoken content from media like podcasts and interviews into accurate, searchable text, making it easier to access and analyze. |
IVR SystemsImprove customer interactions with interactive voice response systems that feature natural-sounding AI voices. |
Conversational AIThis technology empowers AI applications to interact naturally with users, improving customer service and engagement through voice recognition. |
Audio Articles and AccessibilityMake written content more accessible by converting articles into audio formats, aiding those with visual impairments. |
Contact CentersDeepgram enhances customer support by transcribing and analyzing calls in real time, helping agents provide better, more personalized responses. |
Youtube VideosUse lifelike AI voices to produce or narrate YouTube videos, making content creation more efficient |
Medical TranscriptionIt provides fast and accurate transcription of medical dictations, aiding healthcare professionals by streamlining documentation and record-keeping. |
Tiktok VideosEnhance your TikTok content with unique AI voices that enhance the auditory experience for viewers. |
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Character Voice GeneratorBring characters to life in games and animations with customizable character AI voices that fit any personality. |
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Celebrity Voice GeneratorCreate engaging audio content by generating voices that resemble those of popular celebrities, enhancing the appeal and relatability of your projects. |
See which companies trust PlayHT & Deepgram for all their generative AI needs.
See how PlayHT vs Deepgram stack up by what users think of them.
amazing ai voice generator, and best customer support
Play.ht impresses me with its extensive selection of lifelike voices, offering a range of accents and languages that truly elevate my/our content. The interface is intuitive, making it easy to convert text to speech seamlessly. This variety and ease of use are invaluable for creating diverse and engaging audio content. It´s perfect that each week it seems they add more voices and more languages.
the ability to quickly produce publish quality audio using the platforms high quality AI voices
Have had several technical issues, and support can be slow in responding. I like the new realistic voiceovers but find it annoying that I have to select standard or the new realistic voiceovers on every creation. Should be selected once, and then down to the user to change.
Not very good at pronunciation. Many times we had to manually adjust to make the voice-over understandable.
he lack of ability to edit Ultra Realistic voice pronunciations/pace/tone.
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.