tashkeel

Arabic diacritization adds vowel marks to text using Mishkal and Farasa APIs to improve readability, pronunciation, and downstream NLP accuracy. You provide a block of Arabic text, and the tool outputs the fully diacritized result ready for pipelines.

Yes, Arabic diacritization works on macOS and Linux where curl is available. You need network access to call the Mishkal and Farasa API endpoints, which process the input text and return accurate vowel marks for your content.

Automating Arabic diacritization involves passing text to Mishkal and Farasa APIs via curl commands. This API-based approach consistently produces diacritized output suitable for educational content, Quranic texts, or poetic literature without manual intervention.

Arabic tashkeel works without local NLP libraries by calling external Mishkal and Farasa endpoints through curl. The only requirements are curl installed on a Linux or macOS system and active network access to reach the remote APIs.

API-based Arabic diacritization is ideal when you need accurate vowel marks for NLP preprocessing or literary texts and have reliable network access. If your workflow operates offline or restricts external API calls, this approach will not function.

Arabic diacritization fails if network access is unavailable or curl is missing, as the tool depends on calling Mishkal and Farasa API endpoints. Ensure your Linux or macOS environment has a stable connection to reach the external APIs.