Yoga · 7 min read

Finding Yoga Poses by Sanskrit Names, Asana Families, and Dosha Filters in the App

Learn how to search the 908 exercises and 4,419 yoga sequences in Ayurveda & Asana Yoga by Sanskrit name (without typing diacritics), pose family, or dosha effect.

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iPhone screen concept showing yoga pose search results matching both Sanskrit transliteration and English posture names.

iPhone screen concept showing yoga pose search results matching both Sanskrit transliteration and English posture names.

Quick Answer

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Every yoga posture in the app indexes its English `name`, `sanskrit` transliteration, and `AsanaFamily` into a diacritic-folded search index (`nameNormalized` and `searchTokens`). You can type plain English letters (such as `trikonasana`, `paschimottanasana`, or `virabhadrasana`) without macron accents, combine them with dosha filters (`Pacifies` / `Neutral` / `Aggravates`), and view duration-weighted Vata, Pitta, and Kapha scores on multi-pose sequences.

No diacritics required: The tokenizer folds accents (such as `ā`, `ś`, `ṣ`, `ṇ`) into standard ASCII letters automatically.

Partial root matching: Searching `konasana` (angle), `parivrtta` (revolved), or `supta` (reclining) surfaces matching postures across the 908-exercise catalog.

Dosha facet queries: `ExerciseAyurvedaSearch` strips generic words (`pose`, `asana`, `yoga`) and scores postures by Vata, Pitta, and Kapha preferences.

Workout aggregation: Multi-pose sequences calculate their net dosha score weighted by each pose's `durationSeconds` (`weight = max(durationSeconds, 1)`).

How the App Indexes Sanskrit Transliterations Without Diacritics

In scholarly Sanskrit transliteration (IAST), yoga posture names contain diacritical marks that distinguish long vowels and retroflex or palatal consonants—such as *Adho Mukha Śvānāsana* or *Paścimottānāsana*. Typing those characters on a mobile keyboard during practice is impractical, so `ExerciseItem.refreshSearchMetadata()` combines each posture's English `name`, `sanskrit` string, and `family.rawValue` and runs `.folding(options: .diacriticInsensitive, locale: .current)` in lowercase.

The tokenizer (`ExerciseItem.makeTokens` and `SmartExerciseSearch`) also splits hyphenated and compound phrases into unigrams, two-word bigrams, and three-word trigrams while dropping filler stopwords. That means you can type `adho mukha`, `svanasana`, `downward dog`, or `standing` into the search bar and immediately match the same catalog record without worrying about hyphens or accent marks.

  • Search by Sanskrit root word: Try `baddha` (bound), `ardha` (half), `utthita` (extended), `parivrtta` (revolved), `salamba` (supported), or `viparita` (inverted).
  • Search by English or Sanskrit interchangeably: Every pose card displays both the English title and the italicized `sanskrit` name underneath.
  • Pose metadata on every card: Opening an `ExerciseItem` shows `family` (`AsanaFamily`), `level`, `breath` (`YogaBreath`), `drishti` (`YogaDrishti`), `muscleGroups`, and `contraindications`.

Combining Lexical Search with Ayurvedic Dosha Filters

When you want to find postures that also align with a Vata, Pitta, or Kapha goal—such as cooling seated folds or grounding standing postures—`ExerciseAyurvedaSearch` coordinates text search with Ayurvedic facet scoring. If you type a query like `seated asana pacifies pitta` or activate the dosha filter chips (`AyurvedaSearchFilters`), `CanonicalFacetParser` extracts the dosha constraint and strips generic words (`asana`, `asanas`, `exercise`, `exercises`, `pose`, `poses`, `yoga`) from the lexical search so they do not dilute your keyword match.

Each posture with a `YogaDosha` rating (`vata`, `pitta`, `kapha` on an integer `-2...2` scale, where negative numbers pacify/reduce a dosha and positive numbers increase/aggravate it) is then scored against your selected preference: a posture that pacifies the target dosha (`value < 0`) receives a `+120 + abs(value) * 10` boost, neutral (`0`) receives `+15` (or `+130` when specifically filtering for `.neutral`), and an opposite-direction posture receives `-120`.

  • Pacifies (`< 0`): Ranks postures that calm or reduce the selected dosha at the top of the results.
  • Neutral (`0`): Surfaces gentle, tridoshic postures that do not strongly push the selected dosha up or down.
  • Unrated exercises: General fitness movements without a `resolvedYogaDosha` receive a `-30` sort penalty whenever an Ayurvedic filter is active so verified yoga postures appear first.

How Multi-Pose Workouts Calculate Duration-Weighted Dosha Effects

In addition to 908 individual exercises, the bundled catalog includes 4,419 structured `yogaSequences` and multi-pose workouts (`isWorkout == true`). A sequence that starts with two minutes of brisk Sun Salutations and then spends twenty minutes in supported restorative postures should not be judged by a simple unweighted average of pose counts.

When an `ExerciseItem` is a multi-pose workout without a static override, its `resolvedYogaDosha` property calls `YogaWorkoutAyurvedaMath.aggregate`. This function weights each linked posture's Vata, Pitta, and Kapha score by its actual hold time in seconds (`weight = max(durationSeconds, 1)`), divides by total sequence duration, and clamps the rounded result to `-2...2`. As a result, longer restorative holds or cooling closing postures accurately shape the sequence's overall dosha badge.

  • Duration-weighted math: A 180-second supported forward fold carries six times the dosha weight of a 30-second standing transition.
  • Clamped `-2` to `+2` scale: Matches the exact five-point scale used across food and daily Ayurveda summaries.
  • Offline speed: All 908 exercises, 4,419 sequences, and 599,085 search vocabulary entries live in the local preseeded SwiftData catalog for instant offline search.

Frequently Asked Questions

Do I need to install a Sanskrit keyboard to search for poses in the app?

No. The app folds all Sanskrit diacritics into standard English letters during indexing, so typing `sirsasana`, `sarvangasana`, or `bhujangasana` on a standard keyboard works automatically.

Why does adding the word "pose" or "asana" to a dosha search not narrow the results?

`ExerciseAyurvedaSearch.parse` intentionally strips generic terms (`asana`, `asanas`, `pose`, `poses`, `yoga`, `exercise`, `exercises`) when dosha constraints are present so every posture in the library can be evaluated by the dosha filter.

How does the app calculate the dosha effect of a custom workout I edit?

Whenever a workout contains linked postures (`ExerciseLink`), `YogaWorkoutAyurvedaMath.aggregate` recalculates the Vata, Pitta, and Kapha values dynamically using each pose's `durationSeconds`.

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Sources & Classical References

  1. Yoga: What You Need To Know — National Center for Complementary and Integrative Health (NCCIH)
  2. Ayurvedic Medicine: In Depth — National Center for Complementary and Integrative Health (NCCIH)

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