Multilingual Transcriptions for AI Excellence
Power your AI models with precise, human-made transcriptions in over 40 languages. Custom labeling and sentiment marking available to ensure every dataset meets your exact needs.
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Rest easy knowing your data is fully protected with the highest security standards. With 85.5% of our clients prioritizing data protection, we safeguard your sensitive information with strict NDAs, PII protection, and HIPAA-certified compliance, ensuring your content remains confidential and secure.
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Why AI Teams Choose GoTranscript
Global Language Support: Professional transcriptions in 40+ languages for comprehensive AI data.
Customized Labeling: Tag words, phrases, or sentences for any AI training need.
Human Quality: 100% human-made to deliver reliable data for AI projects.
“One of the bigger advantages of choosing GoTranscript is that it can cater for the more complex projects you may need to handle”
“No other service compares with GoTranscript if you need high-quality, human-generated transcription..”
Top-Rated by Leading Media
Chosen by PCMag and TechRadar as the leading choice for accurate transcription services, we guarantee unmatched precision with every project. Trust the service that top industry voices rely on to deliver flawless results every time.
Guided by AI & Deep Learning Experts
With top advisors from the deep learning world, GoTranscript refines its processes for the best AI dataset results. Expert guidance ensures each transcription reaches industry-leading standards in accuracy.
Unmatched Accuracy at Every Level
GoTranscript offers scalable accuracy checks, adapting to your specific project needs. From standard reviews to in-depth multi-level verification, we ensure each transcription meets the exact precision your AI models require.
End-to-End Audio Data Solutions
GoTranscript also offers custom audio collection with our skilled native-speaking workforce in over 100 languages. Simply provide your script, and we’ll deliver high-quality recordings with accurate accents and clear audio. Perfect for creating diverse datasets to train your AI models faster and more effectively - all in one seamless process!
Use Cases
Human transcribers generate verbatim, time-aligned transcripts from diverse accents and acoustic conditions, supplying gold-standard text for supervised learning, benchmarking, and bias audits, enabling developers to raise automatic speech recognition accuracy across industries and languages.
Experienced linguists transcribe multi-speaker dialogues, annotate speaker turns, filler words, and emotions, producing richly labeled datasets that boost chatbots’ intent recognition, slot filling, and contextual understanding, transforming raw call recordings into immediately usable fine-tuning assets.
Native-language editors deliver parallel, culture-aware transcripts for podcasts, news, and interviews in 40+ languages, creating aligned text pairs essential for evaluating translation engines, cross-lingual embeddings, and zero-shot tasks in academic or enterprise research.
Professional transcribers transform contact-center recordings into precise text with speaker separation and timecodes, enabling data teams to train sentiment, churn, and quality-assurance models, uncover operational bottlenecks, and build dashboards that boost customer experience KPIs.
HIPAA-trained scribes produce de-identified, highly accurate transcripts from clinical dictations and consultations, supplying structured datasets for developing domain-specific speech models, medical NLU tools, and clinical documentation automation while maintaining strict privacy and regulatory compliance.
Certified transcribers capture financial-services calls and sales pitches verbatim, tagging sensitive terms, obligations, and disclosure statements, compiling audit-ready corpora that power machine-learning models for risk detection, policy adherence scoring, and regulatory reporting automation.
Editorial teams manually align legacy broadcast transcripts to video timestamps, correcting ASR drift and speaker attributions, generating high-fidelity caption datasets for training alignment algorithms, improving video search, and enabling multilingual subtitle generation at scale.
Linguists transcribe social-media clips and brand reviews, annotate emotional tone, sarcasm, and contextual cues, yielding sentiment-labeled audio/text pairs that enhance model robustness for voice opinion mining, reputation management tools, and advertising targeting engines.
Transform your raw data into powerful, structured AI datasets. From multilingual transcriptions to custom labeling and multi-layered accuracy checks, GoTranscript delivers precise, human-made data that strengthens AI models. Let’s collaborate to build a dataset solution tailored to your needs.
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