Narakeet makes voiceovers and narrated videos. A replacement should cover the work you do after entering the script, including timing, revisions, and exports.
What to compare
If your workflow starts with a presentation and ends with a narrated video, compare tools that handle both. Sonic can generate narration or stream speech in an application, but it does not turn a slide deck into a finished video.
The options below cover different jobs; they are not a ranked benchmark. Check each provider’s current availability, features, and plan terms before committing.
Alternatives at a glance
| Product | Evaluate for | Check before choosing |
|---|---|---|
| Cartesia | Speech for voice applications | Model, language, and integration requirements |
| Murf AI | Scripted voiceovers | Editing controls and export rights |
| Lovo AI | Recorded narration and dialogue | Delivery controls and revision workflow |
| Amazon Polly | TTS in AWS applications | Voice engine, region, and supported controls |
| Speechify | Reading documents aloud | Reading app, studio, or API plan |
| IBM Watson Text to Speech | TTS API integration | Languages, controls, and service limits |
| NaturalReader | Document listening | File support and personal versus commercial rights |
| PlayHT | Existing TTS workflows | Current service and API availability |
| ElevenLabs | Voice generation and dubbing | Model choice and usage limits |
| Microsoft Azure Text-to-Speech | Speech in Azure applications | Region, SSML support, and custom voice access |
Cartesia
We build Sonic, a text-to-speech model for voice applications. You can stream generated audio, select a voice, or use voice cloning with recordings you have permission to use. Try your own text in the playground before integrating the API.
For a complete voice agent, you also need speech recognition and conversation handling. Ink is our speech-to-text model, and Managed Agents is our voice agent builder. Sonic alone does not listen to callers or decide what to say.
Check language coverage, API requirements, and pricing for the model and plan you intend to use. Measure response time in your application: network travel and playback buffering contribute to what a user hears.
Murf AI
Murf AI has a voiceover editor for working from scripts and matching narration to media. Consider it for training materials and recorded presentations. Test how much editing your script needs, and check whether the plan includes the exports and team access you need.
Lovo AI
Lovo AI combines voice generation with tools for producing recorded content. Try it with dialogue or narration that needs changes in delivery. Listen across a full script, then check how revisions and commercial exports fit your plan.
Amazon Polly
Amazon Polly is AWS’s text-to-speech service. It is worth evaluating if your application already uses AWS identity and billing. Voice engines differ in language coverage and supported controls, so check the engine you plan to deploy rather than the service-wide feature list.
Speechify
Speechify has reading apps that turn documents and web pages into audio. If your goal is to listen to existing text, start with that workflow. Evaluate its reading, studio, and API products separately; access to one does not tell you what another includes.
IBM Watson Text to Speech
IBM Watson Text to Speech is an API for generating speech from text. Include it if you are comparing speech services for an IBM-based deployment. Verify supported languages and pronunciation controls, then test output formats and service limits against your application.
NaturalReader
NaturalReader has tools for listening to documents and generating speech. Separate personal reading from commercial audio production when comparing plans. Test the file types you actually use; reading a scanned PDF also requires text recognition before speech synthesis.
PlayHT
PlayHT has been used for voice generation and TTS API integrations. Before building around it, confirm current service availability, API access, and support with the provider. If you are moving an existing integration, save the scripts and voice settings you need for comparison tests.
ElevenLabs
ElevenLabs has text-to-speech, voice cloning, and dubbing tools, as well as products for conversational applications. Compare the specific model and endpoint you would deploy. Test pronunciation and response time with your own scripts rather than treating every model as interchangeable.
Microsoft Azure Text-to-Speech
Microsoft Azure provides text-to-speech through its speech services. It is a candidate for teams already operating in Azure. Check the selected voice and region, supported Speech Synthesis Markup Language (SSML) controls, and access requirements for custom voices.
Test before you switch
Test a presentation with speaker notes, a slide transition, and a revised sentence. Check whether you need to retime the whole recording after a change. For multilingual narration, have a speaker of each language review pronunciation and pacing before producing the full project.
Compare cost using your expected usage and the features you need. Include retries, regenerated audio, concurrency limits, and commercial rights. A low starting price is not a workload estimate.