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Accurate Multi-Provider Speech-to-Text

Convert spoken conversations into accurate, readable text using leading transcription providers. Choose from Deepgram, OpenAI, AssemblyAI, and Groq to optimize for accuracy, speed, or specific use cases.

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Key Highlights

Discover what makes this feature stand out

Multi-Provider Engine

Select the best transcription engine (Deepgram, OpenAI, AssemblyAI, Groq) for your needs based on accuracy, language, or cost.

High Accuracy

Leverage top-tier speech recognition models for precise transcription, even in noisy environments or with various accents.

Speaker Diarization

Automatically identify and label different speakers within the conversation for clearer transcripts.

Real-time & Post-call

Access transcriptions live during the call or process recordings afterwards for analysis.

Benefits

See how this feature can transform your business

Improve agent monitoring and quality assurance

Enable keyword searching and analysis of call content

Create accurate records for compliance and documentation

Power downstream AI tasks like summarization or sentiment analysis

Choose the optimal balance of speed, accuracy, and cost

How It Works

Get started with this feature in a few simple steps

1

Select Provider(s)

Choose your preferred transcription provider(s) based on your requirements within the platform settings.

2

Configure Settings

Set parameters such as language, real-time vs. batch processing, and speaker diarization options.

3

Receive Transcripts

Transcriptions are automatically generated for calls and made available via API or within the platform.

4

Integrate & Analyze

Utilize the transcript data directly, feed it into analytics tools, or integrate with other systems like CRMs.

Frequently Asked Questions

Find answers to common questions about this feature

The 'best' provider depends on your specific needs (e.g., highest accuracy for noisy calls, fastest real-time results, specific language support). We allow you to choose or even switch providers to find the optimal fit.

Speaker diarization technology analyzes audio characteristics to differentiate between speakers and labels their turns in the conversation (e.g., Speaker 1, Speaker 2).

Redaction capabilities might be available depending on the chosen provider and platform configuration. This typically involves identifying and masking sensitive data like PII or payment info.

Transcripts are usually available in standard text formats and often as JSON data containing detailed timing, speaker labels, and word-level confidence scores.

Ready to transform your operations?

Schedule a demo to see how our solutions work for your industry.