App Submitted - tesseract.v2.1

docs/_apps/tesseract/index.md

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+---
+layout: posts
+classes: wide
+title: tesseract
+date: 1970-01-01T00:00:00+00:00
+---
+This tool applies Tesseract OCR to a video or image and generates text boxes and OCR results. Currenly only support English language.
+- [v2.1](v2.1) ([`@keighrim`](https://github.com/keighrim))

docs/_apps/tesseract/v2.1/index.md

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+---
+layout: posts
+classes: wide
+title: "TesseractOCR Wrapper (v2.1)"
+date: 2025-09-05T18:11:26+00:00
+---
+## About this version
+
+- Submitter: [keighrim](https://github.com/keighrim)
+- Submission Time: 2025-09-05T18:11:26+00:00
+- Prebuilt Container Image: [ghcr.io/clamsproject/app-tesseractocr-wrapper:v2.1](https://github.com/clamsproject/app-tesseractocr-wrapper/pkgs/container/app-tesseractocr-wrapper/v2.1)
+- Release Notes
+
+    > SDK update
+
+## About this app (See raw [metadata.json](metadata.json))
+
+**This tool applies Tesseract OCR to a video or image and generates text boxes and OCR results. Currenly only support English language.**
+
+- App ID: [http://apps.clams.ai/tesseract/v2.1](http://apps.clams.ai/tesseract/v2.1)
+- App License: Apache 2.0
+- Source Repository: [https://github.com/clamsproject/app-tesseractocr-wrapper](https://github.com/clamsproject/app-tesseractocr-wrapper) ([source tree of the submitted version](https://github.com/clamsproject/app-tesseractocr-wrapper/tree/v2.1))
+- Analyzer Version: tesseract5.3
+- Analyzer License: Apache 2.0
+
+
+#### Inputs
+(**Note**: "*" as a property value means that the property is required but can be any value.)
+
+- [http://mmif.clams.ai/vocabulary/VideoDocument/v1](http://mmif.clams.ai/vocabulary/VideoDocument/v1) (required)
+(of any properties)
+
+- [http://mmif.clams.ai/vocabulary/TimeFrame/v6](http://mmif.clams.ai/vocabulary/TimeFrame/v6) (required)
+    - _representatives_ = "?"
+
+    > The Time frame annotation that represents the video segment to be processed. When `representatives` property is present, the app will process videos still frames at the underlying time point annotations that are referred to by the `representatives` property. Otherwise, the app will process the middle frame of the video segment.
+
+
+#### Configurable Parameters
+(**Note**: _Multivalued_ means the parameter can have one or more values.)
+
+- `tfLabel`: optional, defaults to `[]`
+
+    - Type: string
+    - Multivalued: True
+
+
+    > The label of the TimeFrame annotation to be processed. By default (`[]`), all TimeFrame annotations will be processed, regardless of their `label` property values.
+- `pretty`: optional, defaults to `false`
+
+    - Type: boolean
+    - Multivalued: False
+    - Choices: **_`false`_**, `true`
+
+
+    > The JSON body of the HTTP response will be re-formatted with 2-space indentation
+- `runningTime`: optional, defaults to `false`
+
+    - Type: boolean
+    - Multivalued: False
+    - Choices: **_`false`_**, `true`
+
+
+    > The running time of the app will be recorded in the view metadata
+- `hwFetch`: optional, defaults to `false`
+
+    - Type: boolean
+    - Multivalued: False
+    - Choices: **_`false`_**, `true`
+
+
+    > The hardware information (architecture, GPU and vRAM) will be recorded in the view metadata
+
+
+#### Outputs
+(**Note**: "*" as a property value means that the property is required but can be any value.)
+
+(**Note**: Not all output annotations are always generated.)
+
+- [http://mmif.clams.ai/vocabulary/TextDocument/v1](http://mmif.clams.ai/vocabulary/TextDocument/v1)
+    - _@lang_ = "en"
+
+    > Fully serialized text content of the recognized text in the input images. Serialization isdone by concatenating `text` values of `Paragraph` annotations with two newline characters.
+- [http://vocab.lappsgrid.org/Token](http://vocab.lappsgrid.org/Token)
+    - _text_ = "*"
+    - _word_ = "*"
+
+    > Translation of the recognized tesseract "words" in the input images. `token` properties store the string values of the recognized text. The duplication is for keepingbackward compatibility and consistency with `Paragraph` and `Sentence` annotations.
+- [http://vocab.lappsgrid.org/Sentence](http://vocab.lappsgrid.org/Sentence)
+    - _text_ = "*"
+
+    > Translation of the recognized tesseract "lines" in the input images. `sentence` property from LAPPS vocab stores the string value of space-joined words.
+- [http://vocab.lappsgrid.org/Paragraph](http://vocab.lappsgrid.org/Paragraph)
+    - _text_ = "*"
+
+    > Translation of the recognized tesseract "blocks" in the input images. `paragraph` property from LAPPS vocab stores the string value of newline-joined sentences.
+- [http://mmif.clams.ai/vocabulary/Alignment/v1](http://mmif.clams.ai/vocabulary/Alignment/v1)
+(of any properties)
+
+    > Alignments between 1) `TimePoint` <-> `TextDocument`, 2) `TimePoint` <-> `Token`/`Sentence`/`Paragraph`, 3) `BoundingBox` <-> `Token`/`Sentence`/`Paragraph`
+- [http://mmif.clams.ai/vocabulary/BoundingBox/v5](http://mmif.clams.ai/vocabulary/BoundingBox/v5)
+    - _label_ = "text"
+
+    > Bounding boxes of the detected text regions in the input images. No corresponding box for the entire image (`TextDocument`) region

docs/_apps/tesseract/v2.1/metadata.json

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+{
+  "name": "TesseractOCR Wrapper",
+  "description": "This tool applies Tesseract OCR to a video or image and generates text boxes and OCR results. Currenly only support English language.",
+  "app_version": "v2.1",
+  "mmif_version": "1.1.0",
+  "analyzer_version": "tesseract5.3",
+  "app_license": "Apache 2.0",
+  "analyzer_license": "Apache 2.0",
+  "identifier": "http://apps.clams.ai/tesseract/v2.1",
+  "url": "https://github.com/clamsproject/app-tesseractocr-wrapper",
+  "input": [
+    {
+      "@type": "http://mmif.clams.ai/vocabulary/VideoDocument/v1",
+      "required": true
+    },
+    {
+      "@type": "http://mmif.clams.ai/vocabulary/TimeFrame/v6",
+      "description": "The Time frame annotation that represents the video segment to be processed. When `representatives` property is present, the app will process videos still frames at the underlying time point annotations that are referred to by the `representatives` property. Otherwise, the app will process the middle frame of the video segment.",
+      "properties": {
+        "representatives": "?"
+      },
+      "required": true
+    }
+  ],
+  "output": [
+    {
+      "@type": "http://mmif.clams.ai/vocabulary/TextDocument/v1",
+      "description": "Fully serialized text content of the recognized text in the input images. Serialization isdone by concatenating `text` values of `Paragraph` annotations with two newline characters.",
+      "properties": {
+        "@lang": "en"
+      }
+    },
+    {
+      "@type": "http://vocab.lappsgrid.org/Token",
+      "description": "Translation of the recognized tesseract \"words\" in the input images. `token` properties store the string values of the recognized text. The duplication is for keepingbackward compatibility and consistency with `Paragraph` and `Sentence` annotations.",
+      "properties": {
+        "text": "*",
+        "word": "*"
+      }
+    },
+    {
+      "@type": "http://vocab.lappsgrid.org/Sentence",
+      "description": "Translation of the recognized tesseract \"lines\" in the input images. `sentence` property from LAPPS vocab stores the string value of space-joined words.",
+      "properties": {
+        "text": "*"
+      }
+    },
+    {
+      "@type": "http://vocab.lappsgrid.org/Paragraph",
+      "description": "Translation of the recognized tesseract \"blocks\" in the input images. `paragraph` property from LAPPS vocab stores the string value of newline-joined sentences.",
+      "properties": {
+        "text": "*"
+      }
+    },
+    {
+      "@type": "http://mmif.clams.ai/vocabulary/Alignment/v1",
+      "description": "Alignments between 1) `TimePoint` <-> `TextDocument`, 2) `TimePoint` <-> `Token`/`Sentence`/`Paragraph`, 3) `BoundingBox` <-> `Token`/`Sentence`/`Paragraph`"
+    },
+    {
+      "@type": "http://mmif.clams.ai/vocabulary/BoundingBox/v5",
+      "description": "Bounding boxes of the detected text regions in the input images. No corresponding box for the entire image (`TextDocument`) region",
+      "properties": {
+        "label": "text"
+      }
+    }
+  ],
+  "parameters": [
+    {
+      "name": "tfLabel",
+      "description": "The label of the TimeFrame annotation to be processed. By default (`[]`), all TimeFrame annotations will be processed, regardless of their `label` property values.",
+      "type": "string",
+      "default": [],
+      "multivalued": true
+    },
+    {
+      "name": "pretty",
+      "description": "The JSON body of the HTTP response will be re-formatted with 2-space indentation",
+      "type": "boolean",
+      "default": false,
+      "multivalued": false
+    },
+    {
+      "name": "runningTime",
+      "description": "The running time of the app will be recorded in the view metadata",
+      "type": "boolean",
+      "default": false,
+      "multivalued": false
+    },
+    {
+      "name": "hwFetch",
+      "description": "The hardware information (architecture, GPU and vRAM) will be recorded in the view metadata",
+      "type": "boolean",
+      "default": false,
+      "multivalued": false
+    }
+  ]
+}

docs/_apps/tesseract/v2.1/submission.json

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+{
+  "time": "2025-09-05T18:11:26+00:00",
+  "submitter": "keighrim",
+  "image": "ghcr.io/clamsproject/app-tesseractocr-wrapper:v2.1",
+  "releasenotes": "SDK update\n\n"
+}

docs/_data/app-index.json

@@ -1,4 +1,14 @@
 {
+  "http://apps.clams.ai/tesseract": {
+    "description": "This tool applies Tesseract OCR to a video or image and generates text boxes and OCR results. Currenly only support English language.",
+    "latest_update": "2025-09-05T18:11:26+00:00",
+    "versions": [
+      [
+        "v2.1",
+        "keighrim"
+      ]
+    ]
+  },
   "http://apps.clams.ai/parakeet-wrapper": {
     "description": "A CLAMS wrapper for NVIDIA NeMo Parakeet ASR models available on huggingface-hub with support for punctuation, capitalization, and word-level timestamping.",
     "latest_update": "2025-07-29T15:07:13+00:00",