Speechmatics vs Transcript.so

Speechmatics provides APIs for speech-to-text, voice agents, and text-to-speech, processing recorded files or live audio. Speech-to-text supports more than 55 languages, including conversations that switch languages mid-sentence. The company says real-time transcription can return results in less than one second; speaker diarization and custom vocabulary support speaker identification and specialized terms. Listed uses include healthcare, voice agents, live captioning, contact center analytics, legal transcription, and meeting platforms. Deployment options include SaaS, multi-region cloud, on-premises containers and virtual appliances, on-device, and hybrid cloud with on-premises; availability varies by plan. The service is available through API and on Linux, macOS, Windows, web, and self-hosted platforms. The free plan provides $100 in credits, requires no credit card, and allows two concurrent real-time sessions. Usage-based options include text-to-speech at $0.01 per once and transcription plans priced per hour. Speechmatics states it is ISO/IEC 27001:2022 accredited, GDPR compliant, HIPAA compliant, and SOC 2 Type II certified. It says data is encrypted at rest with AES 256 and in transit using TLS 1.2 or higher.

Transcript.so converts uploaded audio and video into searchable text. It detects languages automatically, labels speakers, lets users click a sentence to replay that moment, and exports transcripts as TXT, DOCX, PDF, CSV, SRT, or VTT. The service supports more than 90 languages and accepts formats including MP3, WAV, M4A, AAC, FLAC, OGG, OPUS, WMA, AIFF, MP4, MOV, WEBM, MKV, MPEG, and AVI. Users can search saved transcripts for topics. The maker says Whisper handles most files and another diarization engine is selected for multi-speaker or long recordings. The free plan allows three transcriptions daily, with files up to 30 minutes or 50MB. Unlimited costs $10.00 per month billed yearly ($120). Accuracy may drop with names, jargon, crosstalk, strong accents, or noise. Files remain until deleted and are encrypted, private, and not used to train models.