{"id":29593744,"url":"https://github.com/lpstrevisan/ankivocabextractor-jp","last_synced_at":"2025-07-20T07:32:32.517Z","repository":{"id":280013670,"uuid":"933901363","full_name":"lpstrevisan/AnkiVocabExtractor-JP","owner":"lpstrevisan","description":" This project converts Japanese vocabulary list in PDF file to CSV file for use in creating Anki Flashcards.","archived":false,"fork":false,"pushed_at":"2025-03-25T00:59:41.000Z","size":10,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-25T01:33:58.425Z","etag":null,"topics":["csv","genai","llm","pandas-dataframe","pdf-converter","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/lpstrevisan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-02-16T23:39:56.000Z","updated_at":"2025-03-25T00:59:45.000Z","dependencies_parsed_at":"2025-02-28T22:29:29.987Z","dependency_job_id":"453f3901-f882-4cdc-aa1e-12fe9b5d7e52","html_url":"https://github.com/lpstrevisan/AnkiVocabExtractor-JP","commit_stats":null,"previous_names":["lpstrevisan/ocr","lpstrevisan/convert-pdf-to-csv-anki-deck"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/lpstrevisan/AnkiVocabExtractor-JP","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lpstrevisan%2FAnkiVocabExtractor-JP","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lpstrevisan%2FAnkiVocabExtractor-JP/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lpstrevisan%2FAnkiVocabExtractor-JP/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lpstrevisan%2FAnkiVocabExtractor-JP/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lpstrevisan","download_url":"https://codeload.github.com/lpstrevisan/AnkiVocabExtractor-JP/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lpstrevisan%2FAnkiVocabExtractor-JP/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266084682,"owners_count":23874252,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["csv","genai","llm","pandas-dataframe","pdf-converter","python"],"created_at":"2025-07-20T07:30:32.874Z","updated_at":"2025-07-20T07:32:32.512Z","avatar_url":"https://github.com/lpstrevisan.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AnkiVocabExtractor JP\n\nThis project converts PDF file to CSV file for use in creating Anki Decks. It's a very specific project I did to create flashcards from the vocabulary lists I received from the Japanese course I took.\n\nI also implemented a kanji to furigana converter in Anki format using the Google Gen AI SDK.\n\n## Installation\n\nBecause of the Google Gen AI SDK, you need a Gemini API key which you can get at \u003chttps://aistudio.google.com/app/apikey\u003e.\n\nTo install the required dependencies, first, create and activate a virtual environment:\n\n```bash\npython -m venv venv\nsource venv/bin/activate  # On Windows use: venv\\Scripts\\activate\n```\n\nThen install the dependencies:\n\n```bash\npip install -r requirements.txt\n```\n\n## Configuration\n\nCreate a `.env` file in the project root and add your Gemini API key:\n\n```env\nGEMINI_API_KEY=your_api_key_here\n```\n\n## Usage\n\nTo run the project, provide a PDF file as an argument:\n\n```bash\npython3 main.py file_name.pdf\n```\n\nReplace `file_name.pdf` with the actual name of your PDF file.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flpstrevisan%2Fankivocabextractor-jp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flpstrevisan%2Fankivocabextractor-jp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flpstrevisan%2Fankivocabextractor-jp/lists"}