inputs
Required
Type: File
Uploads the Hebrew speech recording to transcribe. Clear speech, limited background noise, and an appropriate sample rate improve recognition; long files may benefit from chunking and overlap controls.
Transcribe Hebrew speech with ivrit.ai's fine-tuned Whisper Large v3 model, including optional segment or word timestamps. Use the playground to give Whisper Large v3 Hebrew a representative input and review its output. Adjust the available settings to shape the result for your task.
Model
ivrit-ai/whisper-large-v3
Documentation
Use this reference to understand how every field in the playground changes the request sent to ivrit-ai/whisper-large-v3.
Required
Type: File
Uploads the Hebrew speech recording to transcribe. Clear speech, limited background noise, and an appropriate sample rate improve recognition; long files may benefit from chunking and overlap controls.
Optional
Type: String
Default: false
Values: false, true, word
Controls timestamp detail in the transcript. False returns text only, True returns segment-level timing, and Word requests timing for individual words; finer timestamps increase response detail and may be less precise on noisy audio.
Optional
Type: Number
Default: None
Range: 0–Unbounded
Splits long audio into chunks of this many seconds before transcription. Chunking controls memory use and enables long recordings, but chunks that are too short provide less linguistic context and may reduce accuracy.
Optional
Type: Text
Default: None
Adds overlapping audio on the left and right of each chunk, supplied as one number or a [left, right] pair in seconds. Overlap reduces cut-off words at boundaries but increases duplicated processing time.
Optional
Type: Boolean
Default: Off
Suppresses the pipeline warning shown when external chunking is used with Whisper’s own long-form behavior. It changes only warning output, not transcription; enable it only after confirming the chosen chunking approach is intentional.
Optional
Type: Boolean
Default: Off
Includes the detected or selected language in the transcription result. This is useful for auditing multilingual inputs, though this Hebrew checkpoint is best used with the language explicitly set to Hebrew in generation options.
Optional
Type: Integer
Default: 1
Range: 1–Unbounded
Controls how many items are evaluated in parallel during one forward pass. Larger batches can improve throughput but use more memory; reduce the value if processing runs out of device memory.
Optional
Type: JSON object
Default: {"language":"he","task":"transcribe"}
Provides advanced keyword arguments directly to the model’s generation method. Use it for supported controls that are not shown separately in the form, and avoid duplicating named settings because these values may override or conflict with them.
Optional
Type: JSON object
Default: None
Passes a JSON object of keyword arguments to the pipeline decoder during transcript post-processing. Use it for decoder-specific controls not exposed elsewhere, and leave it empty for the model defaults because unsupported keys can cause decoding errors.