Canonical: https://instain.ru/en/ai/nvidia-parakeet/ Language: en NVIDIA model # NVIDIA Parakeet. Speech recognition with timestamps 4.35 / 5 [Directory score](https://instain.ru/en/ai/nvidia-parakeet/#editorial-rating) [Official website ](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3) A family of NVIDIA speech recognition models. Multilingual Parakeet TDT returns punctuated text with timestamps. ![NVIDIA Parakeet. Multilingual weights card Parakeet TDT from NVIDIA.](https://instain.ru/assets/images/nvidia-parakeet-screen-78b96827477b-1200.webp) Multilingual weights card Parakeet TDT from NVIDIA. [Open the source ](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3) ## Text linked to the recording Parakeet recognizes speech and returns text. The Russian version of the Parakeet TDT is described in a separate NVIDIA card. It offers punctuation and timestamps to work with decryption. This is useful when the editor needs to quickly move from text to sound. When loading the weights, pay attention to the version designation. The family is distinguished by a set of languages. ## Locate a disputed line To check, take the allowed recording of the training interview. In one fragment, ask the interlocutor to name the project and date, and in the other leave a natural pause. Get decryption and open the sound near the timestamps. Check the numbers, names and boundaries of words. If the name is not recognized correctly, mark the manual fix and save the reference to the original moment. This will make it easier for other participants to check the edit. On the interjection fragment, check separately if the short line has disappeared. The presence of text and punctuation marks does not indicate an exact division of votes. ## Deployment options NVIDIA describes the local launch and separate deployment of NIM. First, process a short file of the desired language and measure how many resources it takes to run. Then save the model name and settings along with the decryption. For subtitles, check the order of the lines and readability on the screen. To search for interviews, it is useful to leave links to the original audio and note illegible fragments. ## Suitable tasks - Get decryption of your own record - Find a controversial line in time Features ## Strengths - Multilingual version supports Russian - Text timestamps are available Things to consider ## Limitations - People who talk at the same time complicate the test - Model versions have different languages ## Selection and conditions Free access Yes Trial period Not confirmed No sign-up required Not confirmed Russian interface Not confirmed Local installation Yes API Yes “Not confirmed” means there is not enough information. The feature may still be available; check the developer’s terms. Input formats Audio Result Text ### Terms The model is run in a supported NVIDIA environment. A separate instruction is provided for deployment via NIM. From task to first result ## Practical example Task Get decryption of your own record What to prepare A short recording of your own conversation, with participants’ consent to processing. ### Task brief or prompt Task brief: transcribe the recording in its original language. Preserve the meaning of what is said; mark unclear passages separately and check them against the audio. Verify names, numbers and titles manually. ### Expected result A draft transcript; speech recognition does not guarantee that every utterance is correct. ### How to check the result - Listen to passages containing numbers and names. - Mark omissions and unclear passages; do not fill them in by guessing. An editorial teaching example of a task brief, not the result of hands-on testing of the service. Check that the required mode is available, that you have rights to the source material and that the intended use of the result is permitted. Check details ## Official sources - [Multilingual model card Parakeet ](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3) - [Selection of NVIDIA recognition model ](https://docs.nvidia.com/nemo/speech/nightly/starthere/choosing_a_model.html) - [Parakeet TDT deployment via NVIDIA NIM ](https://docs.nvidia.com/nim/speech/latest/asr/deploy-asr-models/parakeet-tdt.html) This description is based on the developer’s material. Features, prices and availability may change; check the primary source before use. About the tool Developer NVIDIA Category [Audio](https://instain.ru/en/category/audio/) Access The model is run in a supported NVIDIA environment. A separate instruction is provided for deployment via NIM. Payment The weights of the multilingual version are published in the model card. Computing platforms and NIM deployments may have their own conditions. API Yes, from the developer [Developer terms ](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3) Directory score 4.35 / 5 Features 4.50 / 5 Workflows 4.00 / 5 Ecosystem 4.40 / 5 Documentation 4.50 / 5 Scores are an editorial guide to the directory. They are not user reviews or the results of personal testing. [See the methodology ](https://instain.ru/en/methodology/) Keep exploring ## For similar tasks [Full category ](https://instain.ru/en/category/audio/) Audio ### [Azure Speech](https://instain.ru/en/ai/azure-speech/) Microsoft speech tools in Foundry Tools and your own applications 4.58 / 5 service Other result format: Audio Audio ### [Picovoice](https://instain.ru/en/ai/picovoice/) Local speech SDKs for recognition, wake-word detection, and voice commands 4.48 / 5 service Trial available Audio ### [Whisper](https://instain.ru/en/ai/whisper/) Open-source speech recognition that runs locally 4.35 / 5 model Access without registration confirmed