{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8H17bBI3N-vo"
      },
      "source": [
        "\n",
        "\n",
        "## RapidOCR Python Demo\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0qapeJlG6JFJ"
      },
      "source": [
        "#### Install rapidocr"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sTB1PsMp6XTT",
        "outputId": "47d2f7d9-6c5f-4269-d872-3b9bfa385161"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting rapidocr\n",
            "  Downloading rapidocr-3.2.0-py3-none-any.whl.metadata (1.2 kB)\n",
            "Collecting onnxruntime\n",
            "  Downloading onnxruntime-1.22.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (4.5 kB)\n",
            "Collecting pyclipper>=1.2.0 (from rapidocr)\n",
            "  Downloading pyclipper-1.3.0.post6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (9.0 kB)\n",
            "Requirement already satisfied: opencv-python>=4.5.1.48 in /usr/local/lib/python3.11/dist-packages (from rapidocr) (4.11.0.86)\n",
            "Requirement already satisfied: numpy<3.0.0,>=1.19.5 in /usr/local/lib/python3.11/dist-packages (from rapidocr) (2.0.2)\n",
            "Requirement already satisfied: six>=1.15.0 in /usr/local/lib/python3.11/dist-packages (from rapidocr) (1.17.0)\n",
            "Requirement already satisfied: Shapely!=2.0.4,>=1.7.1 in /usr/local/lib/python3.11/dist-packages (from rapidocr) (2.1.1)\n",
            "Requirement already satisfied: PyYAML in /usr/local/lib/python3.11/dist-packages (from rapidocr) (6.0.2)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.11/dist-packages (from rapidocr) (11.2.1)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.11/dist-packages (from rapidocr) (4.67.1)\n",
            "Requirement already satisfied: omegaconf in /usr/local/lib/python3.11/dist-packages (from rapidocr) (2.3.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from rapidocr) (2.32.3)\n",
            "Collecting colorlog (from rapidocr)\n",
            "  Downloading colorlog-6.9.0-py3-none-any.whl.metadata (10 kB)\n",
            "Collecting coloredlogs (from onnxruntime)\n",
            "  Downloading coloredlogs-15.0.1-py2.py3-none-any.whl.metadata (12 kB)\n",
            "Requirement already satisfied: flatbuffers in /usr/local/lib/python3.11/dist-packages (from onnxruntime) (25.2.10)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.11/dist-packages (from onnxruntime) (24.2)\n",
            "Requirement already satisfied: protobuf in /usr/local/lib/python3.11/dist-packages (from onnxruntime) (5.29.5)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.11/dist-packages (from onnxruntime) (1.13.1)\n",
            "Collecting humanfriendly>=9.1 (from coloredlogs->onnxruntime)\n",
            "  Downloading humanfriendly-10.0-py2.py3-none-any.whl.metadata (9.2 kB)\n",
            "Requirement already satisfied: antlr4-python3-runtime==4.9.* in /usr/local/lib/python3.11/dist-packages (from omegaconf->rapidocr) (4.9.3)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests->rapidocr) (3.4.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests->rapidocr) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests->rapidocr) (2.4.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests->rapidocr) (2025.6.15)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.11/dist-packages (from sympy->onnxruntime) (1.3.0)\n",
            "Downloading rapidocr-3.2.0-py3-none-any.whl (15.0 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.0/15.0 MB\u001b[0m \u001b[31m57.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading onnxruntime-1.22.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (16.4 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m16.4/16.4 MB\u001b[0m \u001b[31m50.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading pyclipper-1.3.0.post6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (969 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m969.6/969.6 kB\u001b[0m \u001b[31m36.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m46.0/46.0 kB\u001b[0m \u001b[31m4.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading colorlog-6.9.0-py3-none-any.whl (11 kB)\n",
            "Downloading humanfriendly-10.0-py2.py3-none-any.whl (86 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.8/86.8 kB\u001b[0m \u001b[31m4.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: pyclipper, humanfriendly, colorlog, rapidocr, coloredlogs, onnxruntime\n",
            "Successfully installed coloredlogs-15.0.1 colorlog-6.9.0 humanfriendly-10.0 onnxruntime-1.22.0 pyclipper-1.3.0.post6 rapidocr-3.2.0\n"
          ]
        }
      ],
      "source": [
        "!pip install rapidocr onnxruntime"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PDlCLO_CewSk"
      },
      "source": [
        "#### Run"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "bbHGS0emSNTz",
        "outputId": "c75433e9-e5b9-4679-d823-88221a0be488"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\u001b[32m[INFO] 2025-06-19 13:01:55,418 [RapidOCR] base.py:24: Using engine_name: onnxruntime\u001b[0m\n",
            "\u001b[32m[INFO] 2025-06-19 13:01:55,466 [RapidOCR] download_file.py:56: File exists and is valid: /usr/local/lib/python3.11/dist-packages/rapidocr/models/ch_PP-OCRv4_det_infer.onnx\u001b[0m\n",
            "\u001b[32m[INFO] 2025-06-19 13:01:55,467 [RapidOCR] main.py:55: Using /usr/local/lib/python3.11/dist-packages/rapidocr/models/ch_PP-OCRv4_det_infer.onnx\u001b[0m\n",
            "\u001b[32m[INFO] 2025-06-19 13:01:55,562 [RapidOCR] base.py:24: Using engine_name: onnxruntime\u001b[0m\n",
            "\u001b[32m[INFO] 2025-06-19 13:01:55,568 [RapidOCR] download_file.py:56: File exists and is valid: /usr/local/lib/python3.11/dist-packages/rapidocr/models/ch_ppocr_mobile_v2.0_cls_infer.onnx\u001b[0m\n",
            "\u001b[32m[INFO] 2025-06-19 13:01:55,570 [RapidOCR] main.py:55: Using /usr/local/lib/python3.11/dist-packages/rapidocr/models/ch_ppocr_mobile_v2.0_cls_infer.onnx\u001b[0m\n",
            "\u001b[32m[INFO] 2025-06-19 13:01:55,617 [RapidOCR] base.py:24: Using engine_name: onnxruntime\u001b[0m\n",
            "\u001b[32m[INFO] 2025-06-19 13:01:55,653 [RapidOCR] download_file.py:56: File exists and is valid: /usr/local/lib/python3.11/dist-packages/rapidocr/models/ch_PP-OCRv4_rec_infer.onnx\u001b[0m\n",
            "\u001b[32m[INFO] 2025-06-19 13:01:55,655 [RapidOCR] main.py:55: Using /usr/local/lib/python3.11/dist-packages/rapidocr/models/ch_PP-OCRv4_rec_infer.onnx\u001b[0m\n",
            "\u001b[32m[INFO] 2025-06-19 13:01:58,410 [RapidOCR] download_file.py:64: Initiating download: https://www.modelscope.cn/models/RapidAI/RapidOCR/resolve/v3.1.0/resources/fonts/FZYTK.TTF\u001b[0m\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "RapidOCROutput(img=array([[[255, 255, 255],\n",
            "        [255, 255, 255],\n",
            "        [255, 255, 255],\n",
            "        ...,\n",
            "        [255, 255, 255],\n",
            "        [255, 255, 255],\n",
            "        [255, 255, 255]],\n",
            "\n",
            "       [[255, 255, 255],\n",
            "        [255, 255, 255],\n",
            "        [255, 255, 255],\n",
            "        ...,\n",
            "        [255, 255, 255],\n",
            "        [255, 255, 255],\n",
            "        [255, 255, 255]],\n",
            "\n",
            "       [[255, 255, 255],\n",
            "        [255, 255, 255],\n",
            "        [255, 255, 255],\n",
            "        ...,\n",
            "        [255, 255, 255],\n",
            "        [255, 255, 255],\n",
            "        [255, 255, 255]],\n",
            "\n",
            "       ...,\n",
            "\n",
            "       [[255, 255, 255],\n",
            "        [255, 255, 255],\n",
            "        [255, 255, 255],\n",
            "        ...,\n",
            "        [254, 254, 254],\n",
            "        [254, 254, 254],\n",
            "        [254, 254, 254]],\n",
            "\n",
            "       [[255, 255, 255],\n",
            "        [255, 255, 255],\n",
            "        [255, 255, 255],\n",
            "        ...,\n",
            "        [254, 254, 254],\n",
            "        [254, 254, 254],\n",
            "        [254, 254, 254]],\n",
            "\n",
            "       [[255, 255, 255],\n",
            "        [255, 255, 255],\n",
            "        [255, 255, 255],\n",
            "        ...,\n",
            "        [254, 254, 254],\n",
            "        [254, 254, 254],\n",
            "        [254, 254, 254]]], dtype=uint8), boxes=array([[[ 71., 363.],\n",
            "        [419., 363.],\n",
            "        [419., 382.],\n",
            "        [ 71., 382.]],\n",
            "\n",
            "       [[ 71., 392.],\n",
            "        [410., 392.],\n",
            "        [410., 412.],\n",
            "        [ 71., 412.]],\n",
            "\n",
            "       [[185., 466.],\n",
            "        [317., 466.],\n",
            "        [317., 488.],\n",
            "        [185., 488.]]], dtype=float32), txts=('曲曲折折的荷塘上面，弥望的是田田的叶', '子。叶子出水很高，像亭亭的舞女的裙。', '—《荷塘月色》一'), scores=(0.99052, 0.99123, 0.89048), word_results=((('曲', 0.99946, [[71, 363], [86, 363], [86, 382], [71, 382]]), ('曲', 0.99871, [[89, 363], [105, 363], [105, 382], [89, 382]]), ('折', 0.99464, [[108, 363], [124, 363], [124, 382], [108, 382]]), ('折', 0.99041, [[131, 363], [146, 363], [146, 382], [131, 382]]), ('的', 0.99863, [[146, 363], [162, 363], [162, 382], [146, 382]]), ('荷', 0.9973, [[169, 363], [184, 363], [184, 382], [169, 382]]), ('塘', 0.99974, [[188, 363], [203, 363], [203, 382], [188, 382]]), ('上', 0.99861, [[207, 363], [222, 363], [222, 382], [207, 382]]), ('面', 0.9998, [[226, 363], [241, 363], [241, 382], [226, 382]]), ('，', 0.99184, [[241, 363], [257, 363], [257, 382], [241, 382]]), ('弥', 0.97042, [[263, 363], [279, 363], [279, 382], [263, 382]]), ('望', 0.99984, [[282, 363], [298, 363], [298, 382], [282, 382]]), ('的', 0.99935, [[305, 363], [320, 363], [320, 382], [305, 382]]), ('是', 0.99761, [[320, 363], [336, 363], [336, 382], [320, 382]]), ('田', 0.91549, [[343, 363], [358, 363], [358, 382], [343, 382]]), ('田', 0.98056, [[362, 363], [377, 363], [377, 382], [362, 382]]), ('的', 0.99915, [[381, 363], [396, 363], [396, 382], [381, 382]]), ('叶', 0.99785, [[400, 363], [415, 363], [415, 382], [400, 382]])), (('子', 0.97145, [[71, 392], [85, 392], [85, 412], [71, 412]]), ('。', 0.99549, [[85, 392], [100, 392], [100, 412], [85, 412]]), ('叶', 0.9971, [[107, 392], [124, 392], [124, 412], [107, 412]]), ('子', 0.9842, [[127, 392], [144, 392], [144, 412], [127, 412]]), ('出', 0.99946, [[147, 392], [164, 392], [164, 412], [147, 412]]), ('水', 0.99925, [[167, 392], [184, 392], [184, 412], [167, 412]]), ('很', 0.99851, [[187, 392], [204, 392], [204, 412], [187, 412]]), ('高', 0.99839, [[207, 392], [222, 392], [222, 412], [207, 412]]), ('，', 0.99541, [[222, 392], [237, 392], [237, 412], [222, 412]]), ('像', 0.99658, [[244, 392], [260, 392], [260, 412], [244, 412]]), ('亭', 0.99799, [[264, 392], [280, 392], [280, 412], [264, 412]]), ('亭', 0.99763, [[284, 392], [300, 392], [300, 412], [284, 412]]), ('的', 0.9994, [[304, 392], [320, 392], [320, 412], [304, 412]]), ('舞', 0.99999, [[324, 392], [340, 392], [340, 412], [324, 412]]), ('女', 0.99948, [[340, 392], [357, 392], [357, 412], [340, 412]]), ('的', 0.99899, [[360, 392], [377, 392], [377, 412], [360, 412]]), ('裙', 0.91906, [[380, 392], [397, 392], [397, 412], [380, 412]]), ('。', 0.99379, [[397, 392], [410, 392], [410, 412], [397, 412]])), (('—', 0.4499, [[185, 466], [199, 466], [199, 488], [185, 488]]), ('《', 0.99835, [[199, 466], [215, 466], [215, 488], [199, 488]]), ('荷', 0.99948, [[215, 466], [232, 466], [232, 488], [215, 488]]), ('塘', 0.99998, [[232, 466], [248, 466], [248, 488], [232, 488]]), ('月', 0.99904, [[248, 466], [265, 466], [265, 488], [248, 488]]), ('色', 0.99988, [[265, 466], [281, 466], [281, 488], [265, 488]]), ('》', 0.99965, [[281, 466], [298, 466], [298, 488], [281, 488]]), ('一', 0.67754, [[298, 466], [316, 466], [316, 488], [298, 488]]))), elapse_list=[0.4662188659999913, 0.0055959224700927734, 0.36265224000001695], elapse=0.834467028470101, lang_type=<LangRec.CH: 'ch'>)\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\u001b[32m[INFO] 2025-06-19 13:02:01,302 [RapidOCR] download_file.py:78: Download size: 3.09MB\u001b[0m\n",
            "\u001b[32m[INFO] 2025-06-19 13:02:04,440 [RapidOCR] download_file.py:91: Successfully saved to: /usr/local/lib/python3.11/dist-packages/rapidocr/models/FZYTK.TTF\u001b[0m\n",
            "\u001b[32m[INFO] 2025-06-19 13:02:04,485 [RapidOCR] output.py:79: Single word visualization saved as vis_result.jpg\u001b[0m\n"
          ]
        },
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              "      <div id=\"id-2369dc9f-eace-4508-ad5f-86ab6b62c353\" class=\"ndarray_repr\"><pre>ndarray (516, 1000, 3) <button style=\"padding: 0 2px;\">show data</button></pre><img src=\"data:image/png;base64,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\" class=\"ndarray_image_preview\" /><pre class=\"ndarray_raw_data\">array([[[255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        ...,\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255]],\n",
              "\n",
              "       [[255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        ...,\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255]],\n",
              "\n",
              "       [[255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        ...,\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255]],\n",
              "\n",
              "       ...,\n",
              "\n",
              "       [[255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        ...,\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255]],\n",
              "\n",
              "       [[255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        ...,\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255]],\n",
              "\n",
              "       [[255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        ...,\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255]]], dtype=uint8)</pre></div><script>\n",
              "      (() => {\n",
              "      const titles = ['show data', 'hide data'];\n",
              "      let index = 0\n",
              "      document.querySelector('#id-2369dc9f-eace-4508-ad5f-86ab6b62c353 button').onclick = (e) => {\n",
              "        document.querySelector('#id-2369dc9f-eace-4508-ad5f-86ab6b62c353').classList.toggle('show_array');\n",
              "        index = (++index) % 2;\n",
              "        document.querySelector('#id-2369dc9f-eace-4508-ad5f-86ab6b62c353 button').textContent = titles[index];\n",
              "        e.preventDefault();\n",
              "        e.stopPropagation();\n",
              "      }\n",
              "      })();\n",
              "    </script>"
            ],
            "text/plain": [
              "array([[[255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        ...,\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255]],\n",
              "\n",
              "       [[255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        ...,\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255]],\n",
              "\n",
              "       [[255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        ...,\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255]],\n",
              "\n",
              "       ...,\n",
              "\n",
              "       [[255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        ...,\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255]],\n",
              "\n",
              "       [[255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        ...,\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255]],\n",
              "\n",
              "       [[255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        ...,\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255],\n",
              "        [255, 255, 255]]], dtype=uint8)"
            ]
          },
          "execution_count": 2,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from rapidocr import RapidOCR\n",
        "\n",
        "engine = RapidOCR()\n",
        "\n",
        "img_url = \"https://img1.baidu.com/it/u=3619974146,1266987475&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=516\"\n",
        "result = engine(img_url, return_word_box=True, return_single_char_box=True)\n",
        "print(result)\n",
        "\n",
        "result.vis(\"vis_result.jpg\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "nzSxM43V9rAL"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "demo",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.13"
    },
    "vscode": {
      "interpreter": {
        "hash": "d42ac74e361e91c495bc3239dc10e7028f0ad770b2a1f806c814d17578354ad7"
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}