DL Studio

Audio transcription—the process of converting spoken language into written text—is essential across various sectors, including media, education, and legal services. However, achieving accurate transcriptions presents several challenges:

  • Diverse accents and speaking styles
  • Background noise interference
  • Overlapping speech
  • Multiple language support requirements

Traditional manual transcription is tedious and time-consuming, making it impractical for large-scale or urgent projects, while fully automated systems often lack accuracy.

DL Studio: Semi-Automatic Audio Transcription

DL Studio is a cutting-edge platform designed to revolutionize audio transcription through semi-automatic processes across 100+ languages. By integrating advanced AI models with human expertise, DL Studio ensures high-quality transcriptions while optimizing efficiency. This human-in-the-loop transcription approach is also cost-effective compared to other audio transcription platforms.

Our Transcription Workflow

The AI-assisted transcription in DL Studio follows two key stages:

  • Automated Transcription: Our AI models process the audio files, generating initial transcriptions
  • Human Correction: Skilled professionals review and refine these transcriptions to ensure accuracy

Throughout the process, our team provides comprehensive support to clients to ensure seamless integration and optimal results.

Comprehensive Language Support

DL Studio leverages state-of-the-art AI models for semi-automatic transcription, supporting a diverse range of languages. It supports:

Afrikaans (af), Albanian (sq), Amharic (am), Arabic (ar), Armenian (hy), Assamese (as), Azerbaijani (az), Bashkir (ba), Basque (eu), Belarusian (be), Bengali (bn), Bosnian (bs), Breton (br), Bulgarian (bg), Burmese (my), Catalan (ca), Chinese (zh), Croatian (hr), Czech (cs), Danish (da), Dutch (nl), English (en), Estonian (et), Faroese (fo), Finnish (fi), French (fr), Galician (gl), Georgian (ka), German (de), Greek (el), Gujarati (gu), Haitian Creole (ht), Hausa (ha), Hebrew (he), Hindi (hi), Hungarian (hu), Icelandic (is), Indonesian (id), Italian (it), Japanese (ja), Javanese (jv), Kannada (kn), Kazakh (kk), Khmer (km), Korean (ko), Kurdish (ku), Kyrgyz (ky), Lao (lo), Latin (la), Latvian (lv), Lingala (ln), Lithuanian (lt), Luxembourgish (lb), Macedonian (mk), Malagasy (mg), Malay (ms), Malayalam (ml), Maltese (mt), Maori (mi), Marathi (mr), Mongolian (mn), Nepali (ne), Norwegian (no), Nyanja (ny), Occitan (oc), Pashto (ps), Persian (fa), Polish (pl), Portuguese (pt), Punjabi (pa), Romanian (ro), Russian (ru), Sanskrit (sa), Serbian (sr), Shona (sn), Sindhi (sd), Sinhala (si), Slovak (sk), Slovenian (sl), Somali (so), Spanish (es), Sundanese (su), Swahili (sw), Swedish (sv), Tagalog (tl), Tajik (tg), Tamil (ta), Tatar (tt), Telugu (te), Thai (th), Turkish (tr), Turkmen (tk), Ukrainian (uk), Urdu (ur), Uzbek (uz), Vietnamese (vi), Welsh (cy), Yiddish (yi), Yoruba (yo).

Platform Features

Scalable Transcription Platform

Built to handle varying workloads, from small projects to large enterprise needs

Organizational Structure

Supports multiple organizations, workspaces, and projects for efficient management

Role-Based Access

Offers multiple user roles including Admin, Organization Owner, Workspace Manager, Reviewer, and Annotator

Transliteration in Transcription

Facilitates converting text from one script to another, beneficial for languages with multiple writing systems

Support for Right-To-Left Languages

Supports transcription of right-to-left languages such as Hebrew, Arabic, Persian, and more, ensuring accurate text alignment and readability

Common Transcription Tags

DL Studio incorporates a robust tagging system to enhance transcription accuracy:

  • [inaudible] For speech that cannot be understood
  • [unclear] For speech that is partially audible but uncertain
  • [crosstalk] When multiple speakers talk simultaneously
  • [background noise] or significant non-speech sounds
  • [laughter] To indicate laughter
  • [pause] For notable silences
  • [music] When music plays
  • [phone rings] For phone or similar notification sounds
  • [applause] For audience clapping
  • [sighs] To indicate sighing
  • [speaking foreign language] When non-primary language is spoken
  • [overlapping speech] Similar to crosstalk
  • [interruption] When one speaker cuts off another
  • [emphasis] When words are strongly emphasized
  • [whispers] For whispered speech
  • [stutters] To indicate stuttering
  • [crying] To indicate crying or sobbing
  • [coughing] For coughing sounds
  • [name redacted] For privacy protection
  • [time stamp] To mark specific time points

Custom tags can also be created to meet specific project needs.

For more information or to request a demo of DL Studio, contact us at dlstudio@haidata.ai