English
翻訳会社
tradução em papel
empresa de traducción
traduzione cartacea
Papierübersetzung
traduction papier
papieren vertaling
ترجمه مقاله
แปลกระดาษ
бумажный перевод
ترجمة ورقية
makale çeviri
Tradutor de Artigos
學術翻譯
학술출판번역
论文翻译Transcription for AI
Train your speech models in 200+ languages
Our native-speaking transcribers capture every breath, stutter, and mid-sentence language switch, aligned to the millisecond, so your models learn from ground truth instead of guesswork.
Audio Hours Processed
Languages & Dialects
Audited Speech Error Threshold
Timestamp Alignment Drift
AI Transcription Services
Get custom transcripts built to your specification, from strict verbatim to phonetic alignment, and delivered in the format your pipeline expects.
Verbatim & Intelligent Transcription
Verbatim transcription that keeps the filler words, stutters, and non-verbal cues your acoustic models need to learn from.
Verbatim & Intelligent Specifications
True Verbatim Transcripts
Word-for-word audio capturing stutters, repetitions, coughs, ambient noises, and filler sounds with precise markup tags.
QA Thresholds:
- Non-verbal acoustic markup tags
- Strict multi-pass human auditing
- Acoustic background logging
Clean Verbatim & Intelligent Edit
Polished transcripts removing false starts, vocal stutters, and verbal fillers while preserving semantic meaning.
QA Thresholds:
- 100% syntactic preservation
- Standardized orthographic rules
- Optimized for text LLM token ingestion
Speaker Diarization & Overlaps
Multi-speaker identification with micro-turn annotations and precise boundary tags during conversational cross-talk.
QA Thresholds:
- Sub-100ms diarization boundaries
- Multi-channel overlap labeling
- Identified speech attributes
Ready to build your model's audio parameters?
We configure exports in JSON, TextGrid, SRT, VTT, or custom schemas to match your training script loaders.
Our Success Stories
Scaling Multilingual Audio Data Collection for AI Model Training
We helped a leading technology and mobility company build large-scale multilingual audio datasets across 26 locales for speech recognition and AI model training, capturing natural conversational speech rather than scripted reads.
The Challenge
Recruiting 400+ contributors across 26 locales within two months, including hard-to-source accents, and producing 650+ hours of natural conversational audio at a pace no standard recording tool could support.
The Solution
Built custom software for simultaneous multi-person conversational recording, tapped our global office network to source contributors across all 26 regions, and ran an automated workflow for daily QA and delivery tracking.
Key Performance Metrics
2,400+
Audio Files Delivered, Up From an Initial 1,300
650+
Hours of AI-Ready Audio Delivered
26
Locales Covered Across Healthcare, Finance & Call Centers
Data Security & Compliance
We handle sensitive customer calls, patient dialogues, and legal testimony in isolated environments built to pass international audits.
ISO/IEC 27001:2013
Information Security
Certified information security management covering how your data moves, where it lives, and who can touch it, with isolated environments for every client.
ISO 9001:2015
Quality Management
Documented quality processes behind every delivery: dual-pass validation, measured inter-annotator agreement, and QA checks built into the workflow itself.
GDPR
Data Privacy & Protection
Full compliance with EU data protection law, covering lawful basis, data subject rights, and cross-border transfer safeguards.
HIPAA / SOC 2 Type I
Compliant Data Handling
Audited controls for handling protected health information and sensitive enterprise data, built for regulated industries.
Regulated & Confidential Speech Data?
We support encrypted audio transfers, speaker anonymization routines, and isolated dedicated sandboxes.
Client Testimonials
“Your team demonstrated responsiveness, accountability, and effective communication, which greatly contributed to a successful partnership.”
Encompass LLC
“All of our collaborations with Ulatus to date have been amazing experiences. They deliver top-notch quality within the required deadline and their team is supportive throughout the projects.”
Discovery Education
“The technical nature of our work, combined with the critical need for precise content, required the help of an exceptional company. With Ulatus, we found the perfect partner to achieve our goals.”
IBM Watson
“Your team demonstrated responsiveness, accountability, and effective communication, which greatly contributed to a successful partnership.”
Encompass LLC
“All of our collaborations with Ulatus to date have been amazing experiences. They deliver top-notch quality within the required deadline and their team is supportive throughout the projects.”
Discovery Education
Trusted By Global Leaders
We were a language company before AI made language data valuable
For years, Ulatus has helped enterprises say exactly what they mean in dozens of languages. That same global pool of linguists and subject-matter experts now powers our AI training data services, with human judgment built into every data point.
A large pool of experts, not an anonymous crowd
Vetted freelance linguists, annotators, and domain specialists across 125+ countries, sourcing local contributors for every market, language, and demographic.
Multilingual by heritage, not by add-on
Native-speaker coverage across 200+ languages and regional variants. Low-resource languages aren't an afterthought here. They're our starting point.
Enterprise-grade security
ISO-certified processes, NDAs at every layer, and secure workflows designed for confidential and regulated data.
Quality you can audit
Documented QA passes, agreement scores, and error logs with every delivery. You'll never have to take our word for it.
Frequently Asked Questions
True verbatim keeps stutters, false starts, fillers and non-verbal sounds with markup tags, which is what acoustic and ASR models need to learn real speech. Clean verbatim removes them while preserving meaning, which suits text LLM ingestion. We deliver either, or both from the same audio.
Transcription is produced and audited by native-speaking humans, not cleaned-up machine output. ASR degrades exactly where training data matters most: overlapping speech, heavy accents, low-resource languages and poor signal quality. Every transcript clears multi-pass human review against an audited word error rate threshold below 0.5%.
Yes. Native transcribers handle mid-sentence language switching, regional dialects and non-native accents across 200+ languages, tagging each switch point rather than forcing a single language model over the whole file. Low-resource languages are core coverage, not a special request.
Transcripts export as JSON, TextGrid, SRT, VTT or a custom schema matching your training script loaders. Each file ships with speaker labels, timestamp boundaries under 10ms drift, non-verbal markup tags and acoustic condition logs, plus a QA report with measured error rates.