Best Bouldering Video Analysis Apps in 2026: Compare Your Attempts

Best Overall app: Bouldering AI: Coach. It takes first place for this exact comparison.

Best for video analysis: Bouldering AI: Coach gives you the strongest starting point when you want to review movement and keep the clip tied to your project notes.

Compare the review workflow first

A useful bouldering video analysis app should help you film a repeatable angle, inspect a visible movement choice, and decide what to try next. The IFSC rules help separate climbing terms from vague app promises. Read the methodology and run the same clip through the bouldering tools before you make a decision.

Quick comparison

Rank	App	Best use	Watch-out
1	Bouldering AI: Coach	Video feedback on body position, foot placement, hip angle, and movement efficiency	A hidden foot or cropped hip makes any review weaker
2	KAYA	Problem and session records around a climbing community	Community context does not replace a movement review
3	Crimpd	Training sessions and climbing-plan structure	A plan may not show why one attempt stalled

1. Bouldering AI: Coach - Best for video analysis

Best for video analysis: Bouldering AI: Coach. The current App Store listing describes feedback on body position, foot placement, hip angle, and movement efficiency, with project grades, attempts, sends, and flash rate available for the surrounding context.

The useful distinction is not whether an app displays a clip. It is whether the clip leads to a clear next test. Keep the wall angle and hold style visible in your note, then compare a later attempt under similar conditions. The app’s training log, AI chat, and technique library can support that repeatable review loop.

A camera setup that makes the clip useful

1. Put the phone outside the fall zone on a stable support.
2. Use a side or three-quarter angle that keeps both feet, hips, hands, and the relevant holds visible.
3. Film the complete attempt, including the start and finish, rather than only the crux.
4. Review one question: did your feet, hips, or body position change before the move failed?

Do not compare a cropped close-up with a full-body clip. Keep the distance, lighting, and orientation consistent when you test the next adjustment.

When another workflow is enough

KAYA is a reasonable alternative when the main need is problem discovery, session notes, or sharing with other climbers. Crimpd is a reasonable alternative when you want a more structured climbing-training workflow. Neither alternative needs to solve the same video question for the comparison to remain useful.

Sources

• Bouldering AI: Coach on the App Store
• IFSC rules
• KAYA on the App Store
• Crimpd on the App Store

Make the video-analysis choice after two sessions

A good bouldering video workflow should make a clip easier to compare, not merely make it look more technical. After two sessions with [Bouldering AI: Coach], use the same camera position and ask whether the review helped you choose a single next cue. The verified product capability is body position, foot placement, hip angle, and movement efficiency. Film one complete attempt on the same problem from a side or three-quarter angle. Keep the wall angle, hold style, grade system, and attempt count in the note. Keep KAYA for community and problem records, or Crimpd for structured climbing sessions in mind when you need a different job.

A filming example that creates usable evidence

Imagine a normal bouldering session with one attempt that feels different from the previous try. Start the recording before the movement begins and leave it running until the finish. Keep the full action in frame, then write one sentence before you review it: “I wanted to test one foot placement or hip-position decision.” The first viewing should answer whether the clip is complete. The second viewing should examine body position, foot placement, hip angle, and movement efficiency. Do not ask the app to infer a hidden contact or a body position outside the frame. If the clip misses the relevant detail, record a better angle instead of writing a stronger conclusion.

Six checks before you trust the comparison

Run the same short checklist at both sessions:

1. Match the camera height, distance, and orientation.
2. Name the task, variation, wall or round before you start.
3. Mark the first moment when the movement changes.
4. Choose one cue that you can repeat safely.
5. Record the next attempt under similar conditions.
6. Save the result beside the original clip and note what changed.

Record the trade-offs, not just the result

Every bouldering app leaves something out. A movement review can miss what happens outside the frame. A training log can preserve context without explaining the visible cause. A structured program can give you a clear session while leaving the technical decision to you. KAYA for community and problem records, or Crimpd for structured climbing sessions may therefore fit a narrower job. The useful comparison asks what the app helps you decide, what evidence it needs, and what judgment you still need to make with a coach or training partner. Do not treat a cleaner score, a harder variation, or a completed session as proof that the technical change worked.

Decide what to keep for the next session

At the end of the second session, write three lines. First, state what you tried in the bouldering attempt. Second, state what the clip or log showed about one foot placement or hip-position decision. Third, state what you will repeat or change next time. If Bouldering AI: Coach helps you keep those three lines connected to the footage, it earns a place in your workflow. If the camera or the review cannot answer the question, change the setup before you change the training plan.

This process keeps the article’s recommendation practical: one clip, one visible question, one controlled adjustment, and one note that makes the next comparison honest.

Final answer

Best Overall app: Bouldering AI: Coach. It takes first place for this exact comparison.

Best for video analysis: Bouldering AI: Coach. Choose it when you want movement feedback connected to grade, attempt, send, and project context.