Voice AI Platform

What do you like best about the product?

​The standout feature for our educational architecture is the engine's incredible handling of specialized, context-dependent text. Most traditional TTS systems stumble hard over technical scientific terminology or legal citations, requiring heavy SSML tagging to fix pronunciation. Smallest.ai's Lightning model natively infers the correct phonetic structure based on surrounding paragraph context, which has drastically cut down our manual audio editing hours during textbook localization workflows.

What do you dislike about the product?

While the core voice synthesis is top-tier, the advanced pronounciation dictionary manager in the developer portal feels a bit bare-bones. It functions perfectly via API overrides, but a more robust visual interface within the dashboard for managing custom lexicon tables would make large-scale asset tracking easier for non-technical editors.

What problems is the product solving and how is that benefiting you?

​We needed to scale our auditory accessibility compliance (ADA/Section 508) across hundreds of hours of web-based training modules without blowing past our quarterly production budget. Smallest.ai allowed us to automate high-fidelity, highly natural audio generation straight from our headless CMS pipeline, saving us thousands in traditional voice-actor studio booking fees while speeding up our deployment cycles by roughly 40%.

What do you like best about the product?

The build in PII and PCI redaction capabilities have been a major advantage for our team. Sensitive information such as card numbers, account details, and personal identifiers is automatically masked before transcripts are processed, eliminating the need for a separate redaction tool. This has streamlined our workflow, reduced operational overhead, and strengthened compliance.

What do you dislike about the product?

The initial on-boarding and redaction configuration could be more intuitive. While the support team was very helpful, additional documentation, implementation guides, and real world configuration examples would make deployment faster and easier for new users.

What problems is the product solving and how is that benefiting you?

Smallest.ai enables us to generate RBI complaint call transcript with automated PII/PCI redaction, removing the need for an additional compliance solution. This has simplified our technology stack, reduced governance effort, lowered operational costs and increased confidence among our legal and compliance teams

What do you like best about the product?

Was honestly surprised by the impressive language coverage of Pulse STT. It consistently handles regional calls in Spanish, French, Portuguese, and Hindi with strong accuracy under a single API wrapper instead of managing separate localized endpoints.

What do you dislike about the product?

Would appreciate more language-specific Word Error Rate (WER) reporting inside the default metrics dashboards. Right now, it takes extra script work on our end to accurately analyze local language performance.

What problems is the product solving and how is that benefiting you?

Pulse has unified our regional operations under one roof and eliminated severe transcription latency. Our user-facing voice agents finally feel production-ready because the lag from voice-to-text has been flattened.

What do you like best about the product?

I like that the live conversational feel of our voice agent improved significantly after switching to the Pulse feature of smallest.ai. It solves issues with conversational overlap and response lags that disrupt the immersion of voice bots. I appreciate that it helped us move past our product testing phase faster, as the core SST layer no longer stalls on user interruptions. With Pulse, there's no awkward pause after a user finishes speaking, making the conversational flow feel natural. Even our investors and test groups noticed it as an improvement during product demos. The initial setup was straightforward and surprisingly quick, allowing us to integrate Pulse into our voice agent stack in less than a day. The compliance-grade call logging, P11 redaction, and dispute evidence transcription features were also valuable, with P11 redaction saving us from onboarding another compliance vendor.

What do you dislike about the product?

I would like to see a wider variety of webhook options for streaming event logs. Our team also ran into some minor connectivity delays during heavy back-to-back testing sessions.

What problems is the product solving and how is that benefiting you?

It solves conversational overlap and response lags, hastening product testing with seamless user interruptions handling. With Pulse, our voice agent's flow improved, eliminating pauses after speaking, noted as a significant upgrade during demos.

What do you like best about the product?

Our team's ability to pass bearer tokens, handle WebSocket upgrades, and proxy requests without having to develop any new bridging software was a major advantage.

What do you dislike about the product?

It keeps our in-app voice search from bouncing off mobile users. Customers don't abandon their baskets because of delayed text matching because the text returns nearly instantly.

What problems is the product solving and how is that benefiting you?

Pulse fixes language mapping errors instantly during live clinical intake and prevents telehealth audio recording drops. With the automation of the raw note-taking process, we've significantly reduced post-call administrative work for doctors.

What do you like best about the product?

I appreciate the built-in PII and PCI redaction in smallest.ai, as it has been a huge win for us by automatically removing sensitive information like card numbers and account details before the transcripts reach our systems, eliminating the need for a separate masking tool. The compliance-grade call logging, along with dispute evidence transcription, is excellent for our needs. It provides a detailed and secure call record that enhances transparency and meets compliance requirements, especially with RBI-compliant call transcripts. The automatic PII redaction ensures the protection of sensitive customer information and reduces privacy and security risks. Additionally, smallest.ai offers impressive SOTA STT accuracy and better multilingual coverage, which were key reasons for switching from Cartesia. The initial setup of smallest.ai was amazingly easy.

What do you dislike about the product?

The onboarding docs around redaction setup could be clearer. We needed a few rounds with support to fine-tune configurations, so more examples in the documentation would definitely help.

What problems is the product solving and how is that benefiting you?

I use smallest.ai for PII and PCI redaction, ensuring card numbers and personal info are secure. It provides RBI-compliant transcripts without extra vendors and reduces governance overhead, making our legal team comfortable. Automatic redaction protects sensitive info, meeting compliance needs and reducing privacy risks.

What do you like best about the product?

I was surprised by the impressive language coverage that smallest.ai Pulse STT provides. It consistently handles regional calls in Spanish, French, Portuguese, and Hindi with strong accuracy under a single API wrapper. This has reduced development complexity and improved transcription accuracy across different languages. I love that this feature allows us to deliver a more consistent experience for our global users. We switched to smallest.ai because it offers better accuracy for clinical terms and more reliable real-time transcription, which significantly reduced the amount of manual corrections our physicians had to make after consultations. I also appreciate how smallest.ai integrates with our electronic health record (EHR) system, internal documentation platform, and meeting management tools. This integration allows transcriptions and clinical notes to flow directly into patient records, reducing manual data entry and making the overall documentation process much more efficient.

What do you dislike about the product?

The documentation around advanced configurations and concurrency handling could be improved. We also had to spend some extra time understanding certain implementation details, so more detailed examples and troubleshooting guides would make onboarding much smoother.

What problems is the product solving and how is that benefiting you?

I use Smallest.ai for real-time medical dictation and transcription. It ensures RBI-compliant transcripts and satisfies our legal team. The language coverage through a single API reduces complexity and development time, while direct EHR integration minimizes manual entry, streamlining the documentation process.

What do you like best about the product?

I really like the added call transcription and language change adaptations in smallest.ai. It's great that we didn't have to build a correction layer before showing it to customers. The language changes from English to different languages are transcribed perfectly, and the initial setup was really easy.

What do you dislike about the product?

Documentation is very thin. It took us hit and trail to figure this out so you can improve there.

What problems is the product solving and how is that benefiting you?

I use smallest.ai for call transcription, meeting our enterprise customers' demands with ease. Its language adaptations save time by perfectly transcripting English to other languages without requiring a correction layer.

What do you like best about the product?

I like that smallest.ai helps our QA team review twice the number of calls efficiently with its clean transcripts. The transcription keeps up with high call volumes without accuracy dropping, which is really impressive. Another feature I appreciate is that agents receive live captions while the customer is still speaking, which is incredibly practical.

What do you dislike about the product?

More granular reporting per agent.

What problems is the product solving and how is that benefiting you?

With smallest.ai, transcripts come in clean enough that our QA team can review twice the calls in the same time. It keeps up with high call volumes without accuracy dropping, and agents get live captions while the customer is still speaking.

What do you like best about the product?

I appreciate that smallest.ai added call transcription as a feature, and our customers started using it without complaints from day one. It solved the persistent demand from our enterprise customers who had been asking for call transcription for months. I'm impressed that we didn't have to build a correction layer before showing it to customers. The initial setup of smallest.ai was really easy.

What do you dislike about the product?

Latency on longer calls could be better.

What problems is the product solving and how is that benefiting you?

smallest.ai provided our enterprise customers with call transcription, which they requested for months. It was added without complaints and didn't require us to build a correction layer before showing it to customers.