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How EU Startups Should Evaluate Speech-to-Text APIs Beyond Advertised Pricing

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Choosing a speech-to-text API for an EU startup in 2026 requires evaluating more than the advertised per-minute rate, as billing minimums, language accuracy, latency, and data compliance all affect real costs. Vendors may round short audio clips to larger billing units, meaning actual invoices can far exceed estimates based on average recording length. Quality testing should use real support audio containing product names, error codes, and varied accents rather than generic benchmarks, since transcription errors can corrupt downstream workflows. Asynchronous processing and webhook-based completion are recommended for uploaded call queues to avoid holding open connections. Candidates such as OpenAI, Deepgram, AssemblyAI, and Google Cloud should each be verified for EU data residency, retention policies, and subcontractor disclosures before price comparisons are made.

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