AI Math Solver
Playground
Try it on WaveSpeedAI!AI Math Solver analyzes a math problem from an image and provides the solution. Upload a photo of a math problem and get step-by-step answers. Ready-to-use REST inference API, no coldstarts, affordable pricing.
Features
AI Math Solver turns math headaches into instant solutions. Snap a photo of any math problem — algebra, calculus, geometry, trigonometry, or that impossible homework question — and get step-by-step solutions in seconds. No more staring at equations wondering where to even start.
Why Choose This?
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Photo to solution Just snap a picture — handwritten notes, textbook pages, worksheets, whiteboard equations. If it’s math, we solve it.
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Step-by-step explanations Not just answers — understand how to get there with clear, detailed solution steps.
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All math levels From basic arithmetic to advanced calculus. Middle school to university level problems.
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Handwriting friendly Works with messy handwriting, printed text, and everything in between.
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Instant results Upload → Solve → Done. Seconds, not hours.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Photo of a math problem (URL or upload) |
How to Use
- Snap or upload — take a photo of your math problem or upload an existing image.
- Run — let AI do the heavy lifting.
- Learn — review the step-by-step solution and understand the process.
Pricing
| Output | Cost |
|---|---|
| Per problem | $0.085 |
Best Use Cases
- Homework help — Stuck on a problem? Get unstuck instantly.
- Study sessions — Learn solution methods for exam prep.
- Self-learning — Understand concepts by seeing worked examples.
- Double-checking — Verify your own solutions are correct.
- Teaching aid — Show students step-by-step problem solving.
- Quick calculations — When you need accurate answers fast.
Supported Math Topics
- Arithmetic & basic operations
- Algebra (linear equations, quadratics, polynomials)
- Geometry (areas, volumes, angles, proofs)
- Trigonometry (sin, cos, tan, identities)
- Calculus (derivatives, integrals, limits)
- Statistics & probability
- Word problems
- And more…
Pro Tips
- Clear photos = better results. Good lighting, steady hand, focused image.
- Crop to just the problem — less clutter means faster, more accurate solutions.
- Works with handwritten, printed, or digital math problems.
- Include the full problem — partial equations give partial answers.
- For multi-part problems, upload each part separately for best results.
Notes
- Image is the only required field.
- Ensure uploaded image URLs are publicly accessible.
- For educational purposes — learning beats copying!
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-math-solver" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The URL of the input image. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |