Deepgram
Deepgram offers advanced speech recognition services powered by deep learning for accurate transcription.
No sample available
Unreal Speech
Unreal Speech is an AI tool for generating realistic and human-like speech for various applications.
No sample available
About Deepgram
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/ |
|---|---|
| Founded in: | 2015 |
| Founder: | Scott Stephenson |
| CEO: | Scott Stephenson |
| Address: | 548 Market St. Suite 25104, San Francisco, California, USA |
| Live Chat: | No |
About Unreal Speech
Unreal Speech stands out as a cost-effective text-to-speech solution, reducing costs by up to 90% compared to its competitors. This affordability makes it accessible not only to individual creators but also to large organizations. The platform is designed with a simple interface that streamlines the conversion of text into speech, allowing users to quickly produce high-quality audio.
Unreal Speech also offers robust customization features. Users can tailor their audio by choosing from a variety of ai voices and adjusting settings such as content type, format, bitrate, speed, and pitch. This flexibility ensures that the output matches the specific needs and preferences of the audience.
Moreover, Unreal Speech integrates smoothly across various platforms and applications, enhancing its utility for web interfaces, mobile apps, and digital publications. This easy integration enables users to incorporate high-quality voiceovers effortlessly into their projects, enhancing user engagement and enriching the overall experience. By combining ease of use with powerful customization options, Unreal Speech provides a practical, versatile tool for anyone looking to enhance their digital content with voice capabilities.
The platform’s broad language support extends its reach globally, allowing users from different linguistic backgrounds to utilize the service effectively. Whether you’re aiming to create engaging educational content, dynamic multimedia presentations, or interactive customer support tools, Unreal Speech delivers performance and versatility that can transform your textual content into a compelling auditory experience.
| Website: | https://unrealspeech.com/ |
|---|---|
| Founded in: | 2022 |
| Founder: | Eric Jung |
| CEO: | Derek Pankaew |
| Address: | San Francisco, California, USA |
| Email: | [email protected] |
| Live Chat: | Yes |
Unreal Speech is a better alternative to Deepgram
We've compared price, features, voice samples, and more, and Unreal Speech is a better alternative to Deepgram
Compare Deepgram Product Suite vs Unreal Speech
If you are looking to invest in either Deepgram or Unreal Speech and are planning to scale, then it’s important to know who provides a comprehensive product suite.
- Speech to Text
- Text to Speech
- Audio Intelligence
- Text to Speech API
- Ai Agent
Generate AI Voices, Indistinguishable from Humans
Customer Support
Social Media
Narrative
Characters
Clone a Voice
Deepgram vs Unreal Speech Pricing
Compare Deepgram vs Unreal Speech subscription plans and pricing. Please check each website for the most updated information.
| Monthly Price | Yearly Price | |
| Pay As You Go | $200 Credit | |
| Growth | - | $4k - $10k |
| Enterprise | - | Contact Sales |
| Monthly Price | Yearly Price | |
| Free | 0 | 0 |
| Basic | $49 | |
| Plus | $499 | |
| Pro | $1,499 | |
| Enterprise | $4,999 | |
| Custom |
Deepgram vs Unreal Speech Features Comparison
A side-by-side comparison of Deepgram vs Unreal Speech features
Deepgram Features |
Unreal Speech Features |
|---|---|
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. |
Cost EfficiencyExperience significant savings with Unreal Speech, offering text-to-speech services at up to 90% less than major competitors. |
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. |
Quality and Variety of VoicesChoose from an expansive selection of voices to perfectly match the unique tone and character of your project. |
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. |
Flexible Audio FormatsAccommodate any project requirement with a wide range of supported audio formats including Standard, MP3, Phone Call PCM, and µ-law. |
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. |
Customizable Speech ParametersFine-tune your audio output with customizable speech parameters such as speed and pitch, ensuring a perfect fit for your needs. |
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. |
Volume DiscountsBenefit from volume discounts that make larger projects more economical as your usage increases. |
Enterprise PlansTake advantage of tailored enterprise plans that offer substantial volume discounts for extensive text-to-speech needs. |
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Easy IntegrationEasily integrate Unreal Speech into your projects, supporting a variety of programming environments for both novices and experts. |
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Advanced Neural Network AlgorithmsUtilize advanced neural network algorithms to emulate the nuanced variances of human speech, enhancing the naturalness of the voice output. |
Deepgram vs Unreal Speech Use Cases
Most apps in this space have similar use cases but you can compare Deepgram vs Unreal Speech use cases if you were looking for something unique.
Deepgram Use Cases |
Unreal Speech Use Cases |
|---|---|
Speech AnalyticsDeepgram's speech analytics tools help businesses understand customer sentiments and trends by converting speech into actionable insights. |
Content CreationPerfect for bloggers, journalists, and multimedia professionals, the API effortlessly converts articles into engaging audio content, expanding reach to auditory learners and those needing accessible formats. |
Media TranscriptionIt quickly converts spoken content from media like podcasts and interviews into accurate, searchable text, making it easier to access and analyze. |
E-Learning PlatformsUnreal Speech elevates educational experiences by vocalizing text-based materials, fostering accessibility and auditory learning, particularly for students with disabilities. |
Conversational AIThis technology empowers AI applications to interact naturally with users, improving customer service and engagement through voice recognition. |
Accessibility FeaturesThe API enhances website and app accessibility, transforming text to speech to aid users with visual impairments or reading challenges, aligning with accessibility standards and improving user experience. |
Contact CentersDeepgram enhances customer support by transcribing and analyzing calls in real time, helping agents provide better, more personalized responses. |
Customer Service AutomationUnreal Speech streamlines customer service by integrating voice automation, accelerating response times and allowing human agents to focus on complex queries, boosting service efficiency. |
Medical TranscriptionIt provides fast and accurate transcription of medical dictations, aiding healthcare professionals by streamlining documentation and record-keeping. |
Virtual Assistants and ChatbotsIdeal for powering virtual assistants and chatbots, Unreal Speech delivers natural-sounding speech, making digital interactions more engaging and human-like, thus enhancing user satisfaction. |
Audiobooks and Podcast ProductionThe API empowers publishers and podcast creators to transform books and articles into audio formats, broadening their audience to include those who prefer listening to reading. |
Deepgram vs Unreal Speech Clients
See which companies trust Deepgram & Unreal Speech for all their generative AI needs.
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Deepgram vs Unreal Speech Reviews
See how Deepgram vs Unreal Speech stack up by what users think of them.
Fast, Accurate Transcription well suited to Medical Transcription
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.
Hackathon Winner
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.
Best transcribing and audio APIs I've ever used
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.
Deepgram is easy and inexpensive, but transcription quality is far below a human-edited transcript
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.
Very easy to start using and good results. Hard to find actual cost for using in bulk speech to text
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
Easy to use STT APIs
The response time of speech to text is a little high. Hindi support would be helpful too.
"Affordable TTS Alternative"
Unreal TTS offers an affordable alternative compared to other TTS APIs. This makes it an easy choice if you’re concerned about price. When compared to open-source alternatives, Unreal Speech is also quicker and easier to set up. You also don’t have to worry about hosting your own model. Lastly, the free tier is pretty generous and the docs are easy to understand.
"A Great Text to Speech Experience with Affordable Prices"
Unreal Speech is great. The service does exactly what it says it does, and is extremely affordable. They have a generous free tier and their reasonably priced paid plans blow the competition out of the water. Their team is quick to respond to inquires and support, which is critical for business use cases. The TTS output is clear and sounds great, with documentation that makes it easy to intergrate into my products. They can also handle extremely high volumes of traffic, gauranteeing 99.9% of TTS request complete successfully. Great work!
"Better than all the other more expensive text-to-speech apis out there."
It produce much more consistent speech than 11labs while being so much cheaper. I've tried AWS polly, Microsoft Azure Cognitive Speech Services, and Google Speech to Text, and it's cheaper and produces better speech than all of them. Very easy to use. Very easy to implement. Extremely fast to generate. I like the voices, too.
