The Top 10 AI Speech-To-Text And Text-To-Speech Solutions

Amazon is a market leading developer of AI technologies, with many of its core services, including its e-commerce marketplace and smart-home technology, built around AI and ML infrastructure. Amazon Transcribe is an ML-powered speech-to-text transcription service that automatically transcribes speech into text. First launched in 2017 for AWS, the service has multiple use cases, including creating automatic subtitles, logging customer support calls, and improving clinical documentation by incorporating spoken notes. Customers of this service include Intuit and Nascar.

Amazon’s transcription service can recognize multiple speakers and adds timestamps, enabling you to quickly find moments in the conversation and easily add subtitles to videos. Audio can be recorded live, and separate APIs are available for understanding customer calls and medical conversations in more depth. The service supports dozens of languages, including ten programming languages. Users can also add custom vocabularies and custom language models, including redacting harmful words or sensitive PII information. All data is securely stored with encryption.

AssemblyAI provides a simple AI for speech recognition, speaker detection, and speech summarization for transcribing and speech-to-text. The service offers two models: Core Transcription, which generates transcripts from audio, video, and live audio, and Audio Intelligence, which uses AI models to summarize speech, topics discussed, and sentiment, and moderates harmful content. AssemblyAI was founded in 2017 and is headquartered in San Francisco. They have raised $63m USD in funding to-date, and customers include Spotify, the BBC, and the Wall Street Journal.

AssemblyAI works via API connections into your applications and services, with a pay-as-you-go pricing model based on per second usage. Key use cases including transcribing call recordings; redacting private information, captioning, and moderating video and audio content in real-time; transcribing and summarizing virtual meetings; and analyzing, monitoring, and mediating media content. AssemblyAI supports over 15 languages and supports custom vocabularies. The API is highly scalable, and processes millions of audio files every day, across hundreds of enterprise customers.

Deepgram is an automated speech-to-text transcription service that transcribes live-streamed or pre-recorded audio via an AIP-call. It is available in the cloud or on-prem, and supports dozens of languages for a simple, scalable speech-to-text deployment. Deepgram’s models are utilized by leading organizations, including Spotify, Nasa, and auth0. The company launched in 2015 and is headquartered in San Francisco. They have raised $56m USD in funding to date.

Deepgram uses AI speech and natural understanding models to understand the context behind spoken words. By inferring meaning in real-time to ensure correct written formatting, including punctuation, and paragraph breaks, the model can also accurately detect those speaking and infer the sentiments behind their statements for more accurate summaries and can effectively moderate against content. The service can transcribe across more than 30 languages and dialects.

Murf.Ai is a text-to-speech generator that creates life-like voices for voiceovers, video games podcasts, and presentations in just minutes. Murf.Ai currently serves customers in over one hundred countries, supporting 20+ languages with over 120 text-to-speech options available. Founded in 2020, Murf.Ai is headquartered in Salt Lake City, Utah, and has raised $12m USD in funding to date.

Murf.Ai enables realistic text-to-speech capabilities for a range of use cases such as video voiceovers and podcasts. There are over 120 “voices” available, with the ability to control pitch, speed, insert pauses, and emphasize certain words where needed. The platform also delivers editing functionality, enabling you to easily add well-timed voice overs to videos, and edit the generated speech itself by editing the initial text prompt. Murf.Ai also offers an API which enables you to deploy custom generated AI speech in your website and services.

WellSaid delivers a synthetic text-to-speech service that supports multiple languages and accents. The platform is designed primarily for creative teams, and supports collaborative voice over creation, where team members can create and edit audio using the same voice. Organizations can create their own customized voice avatars, which can then be used across apps, ads, and presentations. WellSaid Labs is based out of Seattle, Washington, and support customers such as Nokia and the University of California. Founded in 2018, WellSaid has raised $10m USD in funding to date.

WellSaid offers an easy-to-use text-to-speech platform, enabling enterprise teams to easily create high-quality, realistic voice overs. Users can simply enter a plain-text script to generate an AI-synthesized voice over, with the ability to create custom audio avatars exclusive to your company. WellSaid also offers an API, allowing teams to build narration into websites and applications. The studio offers a comprehensive set of features, including custom vocabularies to remember how product names should be pronounced for example, and an editing suite.

Lovo is an AI text-to-speech service that enables teams to easily create voice overs for a wide-range of use cases. A key differentiator for this solution is the emotional tones that can be applied to synthesized voices to add an extra layer of realism or impact to a voice over. Lovo is currently used by over 300,000 professionals and creative teams, including companies such as NBC Universal and Samsung. Lovo was founded in 2019 and has raised $7m USD in funding to date. The company is based out of Berkeley, California.

Lovo offers over 200 voices that can be used to deliver over 30 different emotional tones. Users can simply input their speech and generate realistic-sounding audio which can be then applied to videos, presentations, and apps. Tones can be quickly modified via an easy-drop down menu, with a granular editor available for changing pitch, adjusting speed, and adding emphasis. Lovo also offers a video editing tool, to match your voiceovers with time-synced video content.

NeuralSpace specializes in natural language processing technologies, including speech-to-text, entity recognition, and voice analysis for over 100 languages, with a particular specialism in languages spoken across Asia, Africa, and the Middle East. They provide a SaaS solution offering self-improving APIs for enterprise use cases. NeuralSpace is based out of London, United Kingdom, and has raised $3m USD in funding to date. The company was founded in 2019.

NeuralSpace offers many key text-to-speech and speech-to-text capabilities. They enable automatic speech-to-text transcription, supporting over 70 languages, including conversations that switch between two different languages. They also offer speech-to-text, with human-like generation and translation of written content. The API also delivers automated translation of text and a language detector. Use cases for this service include transcriptions, multi-lingual typing, and analyzing and automating customer feedback across different markets and regions.

BeyondWords is a text-to-speech publishing service that enables you to convert text into high quality audio, within an audio CMS. The platform can be used to convert research, books, white papers, and blogs into engaging audio content. Launched in 2018, BeyondWords supports global leading organizations, including the United Nations, Media24, and the Japan Times. BeyondWords is headquartered in London and has raised £150k in funding to date.

BeyondWords offers a comprehensive library of voices, with over 550 AI voices available across more than 150 different languages. Teams can also create their own custom voices, with cloning technologies if you choose to work with a voice actor. Natural languages processing helps to accurately synthesize pronunciations from written content. BeyondWords enables teams to integrate to CMS systems such as WordPress to convert content and offer APIs and SDKs to distribute audio across different services. BeyondWords also offers a comprehensive analytics service displaying impressions and listen times, with integrations with ad platforms to help with monetization strategies.

Resemble.AI offers a comprehensive generative AI text-to-speech and speech-to-speech platform. Resemble.AI uses deep learning AI models to create realistic synthetic voices, which can be customized with different emotions, and translated into different languages where required, at scale. Resemble.AI launched in 2018, and is based in Toronto, Canada. To date, the company has raised $4m USD in investment.

Resemble.AI enables teams to easily generate AI voices for a range of use cases, with flexible developer APIs and integrations with third-party tools. Key features include custom voice cloning, enabling you to create a full AI voice with just a few minutes of speech; localization support for dozens of languages; audio editing – including inserting new content into already recorded voice overs; and support for native mobile text-to-speech. Common use cases include automating call center operations, creating smart assistants, and translating audio.

Otter.Ai is a machine learning powered speech-to-text service that creates transcriptions of live and pre-recorded conversations, accurately identifying different speakers. It can be plugged directly into conferencing apps, such as Teams or Zoom, and be used to automatically create transcripts for podcasts and videos using imported audio content. Otter.Ai was founded in 2016 and has raised $63m USD in funding to date. The company is headquartered in Mountain View, California.

Otter.Ai offers an intuitive dashboard, where users can access conversations, input audio, make notes on transcripts, and collaborate with teams. The speech-to-text transcription service is fast and works in real-time with integrations to conference call applications, accurately identifying different speakers and adding timestamps. The tool is ideal for organizations and schools looking to automatically generate meeting or lecture notes, journalists looking for a way to transcribe interviews, and sales teams who want to quickly get detailed notes from sales calls.