Deepgram offers advanced speech recognition services powered by deep learning for accurate transcription.
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Amazon Poly is a cloud-based and offers text to speech, AI cloning, dubbing, and more.
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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 |
Amazon Polly is an AI speech generator service provided by Amazon Web Services, transforming text into lifelike spoken audio. This tool allows developers and content creators to generate natural-sounding speech easily, making it ideal for applications like customer service bots, audiobook narration, and language learning aids.
The service offers over 47 different TTS voices and supports 24 languages, enabling you to find the perfect match for your specific needs. Whether adjusting the pitch, speed, or timbre, Amazon Polly provides extensive customization options to fine-tune the audio output for any scenario.
By integrating Amazon Polly, you can enhance multimedia presentations, create more engaging e-learning materials, and bring characters to life in animated productions. With its broad language support and diverse voice options, Polly adapts seamlessly to various content creation demands, making it a versatile and powerful tool in the digital audio landscape.
Additionally, Amazon Polly is equipped with features like Speech Marks, which help synchronize speech with visuals, and a Neural Text to Speech (NTTS) model, which delivers even more advanced and natural-sounding voice qualities. This combination of features makes Amazon Polly an essential tool for anyone looking to produce high-quality spoken audio that can captivate and inform audiences.
Website: | https://aws.amazon.com/ |
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Founded in: | 2016 |
Founder: | Stuart Johnson |
CEO: | Stuart Johnson |
Phone: | No |
Email: | [email protected] |
Live Chat: | No |
We've compared price, features, voice samples, and more, and Deepgram is a better alternative to Amazon Polly
If you are looking to invest in either Deepgram or Amazon Polly and are planning to scale, then it’s important to know who provides a comprehensive product suite.
Compare Deepgram vs Amazon Polly 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 | |
Pay As You Go | $0 |
A side-by-side comparison of Deepgram vs Amazon Polly features
Deepgram Features |
Amazon Polly Features |
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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. |
Simple-to-Use APIAmazon Polly provides an API that enables you to quickly integrate speech synthesis into your application. |
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. |
Wide Selection of Voices and LanguagesAmazon Polly includes dozens of lifelike voices and support for a variety of languages, so you can select the ideal voice and distribute your speech-enabled applications in many countries. |
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. |
Synchronize Speech for an Enhanced Visual ExperienceAmazon Polly makes it easy to request an additional stream of metadata that provides information about when particular sentences, words and sounds are being pronounced. |
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. |
Optimize Your Streaming AudioWith Amazon Polly, you can stream all kinds of information through your application to users in near real time. You can also choose from various sampling rates to optimize bandwidth and audio quality for your application. Amazon Polly supports MP3, Vorbis, and raw PCM audio stream formats. |
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. |
Adjust Speaking Style, Speech Rate, Pitch, and LoudnessAmazon Polly supports Speech Synthesis Markup Language (SSML), a W3C standard, XML-based markup language for speech synthesis applications, and supports common SSML tags for phrasing, emphasis, and intonation. |
Newscaster Speaking StyleAmazon Polly can be used to synthesize speech as if it is were spoken by a TV or Radio newscaster. This can be a great way to read news articles or deliver flash briefing updates. |
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Adjust the Maximum Duration of SpeechAmazon Polly enables you to automatically adjust the speech rate based on a maximum allotted amount of time you define with a feature called time-driven prosody. This is beneficial for many use cases, especially when it comes to localization. |
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Platform and Programming Language SupportAmazon Polly supports all the programming languages included in the AWS SDK (Java, Node.js, .NET, PHP, Python, Ruby, Go, and C++) and AWS Mobile SDK (iOS/Android). Polly also supports an HTTP API so you can implement your own access layer. |
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Poly APIAmazon Polly can be accessed via the Polly API (and various language-specific SDKs), AWS Management Console, and the AWS command-line interface (CLI). You have full control over all the capabilities of Amazon Polly, whether you use the service through the console, the API, or the CLI. |
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Custom LexiconsWith Amazon Polly’s custom lexicons, or vocabularies, you can modify the pronunciation of particular words, such as company names, acronyms, foreign words and neologisms |
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Brand VoiceBrand Voice is a custom engagement where you work with the Amazon Polly team to build an Neural Text-to-Speech (NTTS) voice for the exclusive use of your organization. |
Most apps in this space have similar use cases but you can compare Deepgram vs Amazon Polly use cases if you were looking for something unique.
Deepgram Use Cases |
Amazon Polly Use Cases |
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Speech AnalyticsDeepgram's speech analytics tools help businesses understand customer sentiments and trends by converting speech into actionable insights. |
ArchivingAffordable solutions for data archiving from gigabytes to petabytes |
Media TranscriptionIt quickly converts spoken content from media like podcasts and interviews into accurate, searchable text, making it easier to access and analyze. |
Back up and restoreDurable, cost-effective options for backup and disaster recovery |
Conversational AIThis technology empowers AI applications to interact naturally with users, improving customer service and engagement through voice recognition. |
BlockchainShared ledgers for trusted transactions among multiple parties |
Contact CentersDeepgram enhances customer support by transcribing and analyzing calls in real time, helping agents provide better, more personalized responses. |
Block MigrationEasily migrate apps and data to AWS |
Medical TranscriptionIt provides fast and accurate transcription of medical dictations, aiding healthcare professionals by streamlining documentation and record-keeping. |
Cloud OperationOperate securely and safely in the cloud, at scale |
ContainersFully managed services for every workload |
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Content DeliveryAccelerate websites, APIs, and video content |
See which companies trust Deepgram & Amazon Polly for all their generative AI needs.
See how Deepgram vs Amazon Polly stack up by what users think of them.
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.
Amazon Polly with AWS services is a learning curve when it comes to SSML codes the customizable features it make it valuable. The wide range of vo...
The voices are incredibly natural sounding. Despite the learning curve, all the exceptional features that Polly has to provide make it totally wort..
Human Like Voices: I appreciate that Amazon Polly leverages deep learning to generate speech that is remarkably natural. This makes applications feel more user-friendly and engaging.
Not enough choices for voices and definitely language options are scarce.
Does rely on other AWS for the best experience.