jigsawstack

speech-to-text

Cold

Convert speech to text with jigsawstack's api

Public

5 runs

CPU

Run with an API

Pricing

Playground API Examples README Versions

Prediction

jigsawstack/speech-to-text:b5c3816372374b87279128dfc7cf4d3ea7d542f41dfe2081d1a89f88ba8dd509

Model

jigsawstack/speech-to-text:b5c38163

q55xyfgersrma0cqra8a4889wr

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

10.9s

Created

about 2 months ago

Input

url: https://jigsawstack.com/preview/stt-example.wav
api_key: sk_a0e455baafafef8a0249681f14b8a9e39dfe264f3f0ecd36dbe002e4967c18848c752808a2b0fe473778a9a6ddec76782a533d10dc73a3fa5e10d9c2abed4abc024Eao3h0dmFQ20AsZ1Zb
translate
batch_size: 30
by_speaker

{
  "url": "https://jigsawstack.com/preview/stt-example.wav",
  "api_key": "sk_a0e455baafafef8a0249681f14b8a9e39dfe264f3f0ecd36dbe002e4967c18848c752808a2b0fe473778a9a6ddec76782a533d10dc73a3fa5e10d9c2abed4abc024Eao3h0dmFQ20AsZ1Zb",
  "translate": false,
  "batch_size": 30,
  "by_speaker": false
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run jigsawstack/speech-to-text using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jigsawstack/speech-to-text:b5c3816372374b87279128dfc7cf4d3ea7d542f41dfe2081d1a89f88ba8dd509",
  {
    input: {
      url: "https://jigsawstack.com/preview/stt-example.wav",
      api_key: "sk_a0e455baafafef8a0249681f14b8a9e39dfe264f3f0ecd36dbe002e4967c18848c752808a2b0fe473778a9a6ddec76782a533d10dc73a3fa5e10d9c2abed4abc024Eao3h0dmFQ20AsZ1Zb",
      translate: false,
      batch_size: 30,
      by_speaker: false
    }
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run jigsawstack/speech-to-text using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jigsawstack/speech-to-text:b5c3816372374b87279128dfc7cf4d3ea7d542f41dfe2081d1a89f88ba8dd509",
    input={
        "url": "https://jigsawstack.com/preview/stt-example.wav",
        "api_key": "sk_a0e455baafafef8a0249681f14b8a9e39dfe264f3f0ecd36dbe002e4967c18848c752808a2b0fe473778a9a6ddec76782a533d10dc73a3fa5e10d9c2abed4abc024Eao3h0dmFQ20AsZ1Zb",
        "translate": False,
        "batch_size": 30,
        "by_speaker": False
    }
)

print(output)

To learn more, take a look at the guide on getting started with Python.

Run jigsawstack/speech-to-text using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "jigsawstack/speech-to-text:b5c3816372374b87279128dfc7cf4d3ea7d542f41dfe2081d1a89f88ba8dd509",
    "input": {
      "url": "https://jigsawstack.com/preview/stt-example.wav",
      "api_key": "sk_a0e455baafafef8a0249681f14b8a9e39dfe264f3f0ecd36dbe002e4967c18848c752808a2b0fe473778a9a6ddec76782a533d10dc73a3fa5e10d9c2abed4abc024Eao3h0dmFQ20AsZ1Zb",
      "translate": false,
      "batch_size": 30,
      "by_speaker": false
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{ "success": true, "text": " The little tales they tell are false The door was barred, locked and bolted as well Ripe pears are fit for a queen's table A big wet stain was on the round carpet The kite dipped and swayed but stayed aloft The pleasant hours fly by much too soon The room was crowded with a mild wob The room was crowded with a wild mob This strong arm shall shield your honour She blushed when he gave her a white orchid The beetle droned in the hot June sun", "chunks": [ { "timestamp": [ 0, 2.39 ], "text": " The little tales" }, { "timestamp": [ 2.39, 4.78 ], "text": "they tell are false" }, { "timestamp": [ 4.78, 7.130000000000001 ], "text": " The door was barred," }, { "timestamp": [ 7.130000000000001, 9.48 ], "text": "locked and bolted as well" }, { "timestamp": [ 9.48, 11.27 ], "text": " Ripe pears are fit" }, { "timestamp": [ 11.27, 13.06 ], "text": "for a queen's table" }, { "timestamp": [ 13.06, 15.149999999999999 ], "text": " A big wet stain" }, { "timestamp": [ 15.149999999999999, 17.24 ], "text": "was on the round carpet" }, { "timestamp": [ 17.24, 19.509999999999998 ], "text": " The kite dipped and" }, { "timestamp": [ 19.509999999999998, 21.78 ], "text": "swayed but stayed aloft" }, { "timestamp": [ 21.78, 24.04 ], "text": " The pleasant hours fly" }, { "timestamp": [ 24.04, 26.3 ], "text": "by much too soon" }, { "timestamp": [ 26.3, 28.53 ], "text": " The room was crowded" }, { "timestamp": [ 28.53, 30.76 ], "text": "with a mild wob" }, { "timestamp": [ 30.76, 32.92 ], "text": " The room was crowded" }, { "timestamp": [ 32.92, 35.08 ], "text": "with a wild mob" }, { "timestamp": [ 35.08, 37.16 ], "text": " This strong arm" }, { "timestamp": [ 37.16, 39.24 ], "text": "shall shield your honour" }, { "timestamp": [ 39.24, 41.59 ], "text": " She blushed when he" }, { "timestamp": [ 41.59, 43.94 ], "text": "gave her a white orchid" }, { "timestamp": [ 43.94, 46.22 ], "text": " The beetle droned in" }, { "timestamp": [ 46.22, 48.5 ], "text": "the hot June sun" } ], "_usage": { "input_tokens": 15, "output_tokens": 227, "inference_time_tokens": 437, "total_tokens": 679 } }

{
  "completed_at": "2025-06-30T20:38:41.249699Z",
  "created_at": "2025-06-30T20:38:30.342000Z",
  "data_removed": false,
  "error": null,
  "id": "q55xyfgersrma0cqra8a4889wr",
  "input": {
    "url": "https://jigsawstack.com/preview/stt-example.wav",
    "api_key": "sk_a0e455baafafef8a0249681f14b8a9e39dfe264f3f0ecd36dbe002e4967c18848c752808a2b0fe473778a9a6ddec76782a533d10dc73a3fa5e10d9c2abed4abc024Eao3h0dmFQ20AsZ1Zb",
    "translate": false,
    "batch_size": 30,
    "by_speaker": false
  },
  "logs": null,
  "metrics": {
    "predict_time": 1.020347139,
    "total_time": 10.907699
  },
  "output": "{\n  \"success\": true,\n  \"text\": \" The little tales they tell are false The door was barred, locked and bolted as well Ripe pears are fit for a queen's table A big wet stain was on the round carpet The kite dipped and swayed but stayed aloft The pleasant hours fly by much too soon The room was crowded with a mild wob The room was crowded with a wild mob This strong arm shall shield your honour She blushed when he gave her a white orchid The beetle droned in the hot June sun\",\n  \"chunks\": [\n    {\n      \"timestamp\": [\n        0,\n        2.39\n      ],\n      \"text\": \" The little tales\"\n    },\n    {\n      \"timestamp\": [\n        2.39,\n        4.78\n      ],\n      \"text\": \"they tell are false\"\n    },\n    {\n      \"timestamp\": [\n        4.78,\n        7.130000000000001\n      ],\n      \"text\": \" The door was barred,\"\n    },\n    {\n      \"timestamp\": [\n        7.130000000000001,\n        9.48\n      ],\n      \"text\": \"locked and bolted as well\"\n    },\n    {\n      \"timestamp\": [\n        9.48,\n        11.27\n      ],\n      \"text\": \" Ripe pears are fit\"\n    },\n    {\n      \"timestamp\": [\n        11.27,\n        13.06\n      ],\n      \"text\": \"for a queen's table\"\n    },\n    {\n      \"timestamp\": [\n        13.06,\n        15.149999999999999\n      ],\n      \"text\": \" A big wet stain\"\n    },\n    {\n      \"timestamp\": [\n        15.149999999999999,\n        17.24\n      ],\n      \"text\": \"was on the round carpet\"\n    },\n    {\n      \"timestamp\": [\n        17.24,\n        19.509999999999998\n      ],\n      \"text\": \" The kite dipped and\"\n    },\n    {\n      \"timestamp\": [\n        19.509999999999998,\n        21.78\n      ],\n      \"text\": \"swayed but stayed aloft\"\n    },\n    {\n      \"timestamp\": [\n        21.78,\n        24.04\n      ],\n      \"text\": \" The pleasant hours fly\"\n    },\n    {\n      \"timestamp\": [\n        24.04,\n        26.3\n      ],\n      \"text\": \"by much too soon\"\n    },\n    {\n      \"timestamp\": [\n        26.3,\n        28.53\n      ],\n      \"text\": \" The room was crowded\"\n    },\n    {\n      \"timestamp\": [\n        28.53,\n        30.76\n      ],\n      \"text\": \"with a mild wob\"\n    },\n    {\n      \"timestamp\": [\n        30.76,\n        32.92\n      ],\n      \"text\": \" The room was crowded\"\n    },\n    {\n      \"timestamp\": [\n        32.92,\n        35.08\n      ],\n      \"text\": \"with a wild mob\"\n    },\n    {\n      \"timestamp\": [\n        35.08,\n        37.16\n      ],\n      \"text\": \" This strong arm\"\n    },\n    {\n      \"timestamp\": [\n        37.16,\n        39.24\n      ],\n      \"text\": \"shall shield your honour\"\n    },\n    {\n      \"timestamp\": [\n        39.24,\n        41.59\n      ],\n      \"text\": \" She blushed when he\"\n    },\n    {\n      \"timestamp\": [\n        41.59,\n        43.94\n      ],\n      \"text\": \"gave her a white orchid\"\n    },\n    {\n      \"timestamp\": [\n        43.94,\n        46.22\n      ],\n      \"text\": \" The beetle droned in\"\n    },\n    {\n      \"timestamp\": [\n        46.22,\n        48.5\n      ],\n      \"text\": \"the hot June sun\"\n    }\n  ],\n  \"_usage\": {\n    \"input_tokens\": 15,\n    \"output_tokens\": 227,\n    \"inference_time_tokens\": 437,\n    \"total_tokens\": 679\n  }\n}",
  "started_at": "2025-06-30T20:38:40.229352Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/q55xyfgersrma0cqra8a4889wr",
    "cancel": "https://api.replicate.com/v1/predictions/q55xyfgersrma0cqra8a4889wr/cancel"
  },
  "version": "b5c3816372374b87279128dfc7cf4d3ea7d542f41dfe2081d1a89f88ba8dd509"
}

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