Which voice recognition tool is best for IT companies

Here are some of the best voice recognition tools for IT companies from G2’s voice recognition tools category page.

1. Deepgram – Best for Building Custom Voice Interfaces from Scratch

Deepgram is best known for its flexible, low-latency voice API that enables custom voice workflows with real-time streaming and fast processing. It’s ideal for IT companies building speech-powered features into their products or automating internal voice-based systems.

2. Speechmatics – Best for Jargon-Sensitive Voice Accuracy

Speechmatics stands out for its ability to learn technical vocabulary and domain-specific terms using adaptive language models. It’s especially helpful for IT teams in regulated or high-precision sectors like cybersecurity, healthcare, or fintech.

3. AssemblyAI – Best for Applying Speech Intelligence in SaaS Platforms

AssemblyAI combines transcription with powerful add-ons like content filtering, topic classification, and speaker detection through a simple API. It’s a great choice for IT teams that want to extract structured data from customer or support call recordings.

4. Google Cloud Speech-to-Text – Best for Voice Integration at Cloud Scale

Google Cloud Speech-to-Text is known for its high-quality transcription in over 70 languages and compatibility with real-time and batch audio. IT orgs with international users or who rely on Google Cloud will appreciate the seamless integration and global accuracy.

5. Azure AI Speech – Best for End-to-End Voice and Language Workflow Integration

Azure AI Speech supports speech recognition, translation, and synthesis inside the Azure ecosystem with customization options for acoustic and language models. It’s best suited for IT companies operating in Microsoft environments who want to link voice to logic and UI layers.

6. Gladia – Best for Real-Time, High-Definition Voice Processing

Gladia focuses on delivering studio-grade audio transcription by filtering out filler words, noise, and silence automatically. It’s a fit for companies building meeting tools or virtual assistants where audio clarity and processing speed are top priorities.

7. Otter.ai – Best for Turning Internal Meetings into Actionable Notes

Otter.ai is built for business meetings, automatically identifying speakers, generating real-time transcripts, and syncing with calendars. It’s a productivity booster for remote dev teams that need searchable, shareable records of sprint reviews or design discussions.

8. Whisper – Best for Open-Source, Multilingual Transcription Prototyping

Whisper offers freely available, multilingual speech recognition models with strong performance on accented and noisy speech. It’s a solid option for IT teams that want full control over how voice data is processed without relying on proprietary APIs.

These solutions offer a range of features to enhance IT operations through voice recognition, from real-time transcription and multilingual support to advanced analytics and collaboration tools.

I want to start a discussion with this expert software community to identify which voice recognition tool is best for IT companies. Deepgram, Speechmatics, and AssemblyAI are some of the top choices. Have you recently used any of these top voice recognition software tools on G2? Let me know in the comments, and I can update my list.