योजना लाभ

Addon T

अतिरिक्त सुविधाओं के उपयोगकर्ताओं के लिए वैकल्पिक योजना

Addon T योजना गाइड

सदस्यता गाइड

फीचर-वार अतिरिक्त शुल्क तुलना (-25%)

Review successful usage only. Math similar-question generation applies academy contract prices first; Questi uses actual user plan/generation prices.

{billableCount} billable items / {totalCount} total items

Billing by feature

Billing Invoice

View Book Chat web usage trends by day/week/month/custom range.

Book Chat Trend

View library/Book Chat OCR analysis usage trends by day/week/month/custom range.

Book OCR Analysis Trend

Admin Console

View cramming usage trend over day/week/month/custom range.

Cramming Trend

View generation/review trends and key operational metrics in one place.

Analyze similar-problem generation trends

सामग्री संपादित करें

लागू करें दबाने पर परिवर्तन पृष्ठ पर लागू होते हैं।

सूत्र संपादित करें

Generation

मेरे DB पंजीकरण रुझान विश्लेषण

मेरा DB

Review

Manage user list and feature restrictions

User Controls

Persisted activity in the selected period, using the measure shown on each card. Generation, editing and grading requests count separately.

Admin Dashboard

View 1:1 tutor explanation usage trend over day/week/month/custom range.

1:1 Tutor Trend

छवियों से टेम्पलेट बनाने के अनुरोधों के परिणाम देखें, साथ ही वास्तविक API कॉल, टोकन और लागत देखें। हर अनुरोध में अधिकतम 5 पृष्ठ शामिल होते हैं।

छवि→टेम्पलेट उपयोग

View document conversion usage trend over day/week/month/custom range.

Doc Conversion Trend

Review analysis times, requesters, indexing attempts and errors per document. Tokens and costs not reported by File Search remain unavailable.

Book OCR analysis

Review segmentation, generation and modification tokens, calls, agents, costs and errors per solution history.

Handwritten solutions

Historical usage statistics. Past token usage and costs are not backfilled.

User downloads

View essay correction usage trend over day/week/month/custom range.

Essay Correction Trend

View exam similarity analysis usage trends by day/week/month/custom range.

Exam Similarity Analysis Trend

View exam analysis usage trend over day/week/month/custom range.

Exam Analysis Trend

Review and collect school and mock exam inputs from document conversion, exam analysis, and similarity analysis.

Review and collect exam material

Subject

Exam material collection

तारीख अनुसार परिणाम

तारीख के अनुसार हर मेन्यू की सफलता और विफलता देखें, विफल खातों और कारणों की जाँच करें, और ठीक होने पर सूचना भेजें।

{count} खातों को ईमेल भेजा जाएगा।

समाधान सूचना

मूल त्रुटि सहेजी नहीं गई है। दिखाया गया विवरण और इस कार्य के वर्कर लॉग जाँचें।

विफलता कंसोल

View find question (source) usage trend over day/week/month/custom range.

Find Question Trend

Usage and request counts for the selected period.

AI mathematics problem generation

View per-run records and existing usage statistics in one place.

View historical usage and request counts for this subject. Legacy and V2 are different views, not a split by creation date.

View English similar problem generation usage by hour, day, week, month, or a custom period.

English Similar Problems Usage Trend

View Korean similar problem generation usage by hour, day, week, month, or a custom period.

Korean Similar Problems Usage Trend

View math similar problem generation usage by hour, day, week, month, or a custom period.

Math Similar Problems Usage Trend

Inspect each history's actor, LLM usage, cost, and errors from stored operational metadata.

Individual call records load only when details are expanded.

LLM call records

Run details

Errors across all matching runs, ordered by frequency.

Most frequent errors

Runs with stored observability metadata / all runs

Operations overview

Run history

Problem generation runs

Science problem generation

View STEAM problem generation usage trends by day/week/month/custom range.

STEAM Problem Trend

View similar-problem generation trends by day/week/month/custom period.

Generation Usage

View handwritten solution usage trend over day/week/month/custom range.

Handwritten Solution Trend

View Labeling API usage trends by day/week/month/custom range.

Labeling API Trend

View math manipulative usage trend over day/week/month/custom range.

Math Tool Trend

स्रोत प्रबंधित करें, पाइपलाइन चलाएँ, और समाचार स्वयं प्रकाशित करें।

शीर्षक और लिंक दें, AI सारांश, महत्व और श्रेणी का मसौदा बनाएगा। जाँचकर प्रकाशित करें।

प्रकाशन शीर्षक

मूल शीर्षक

घोषणा का शीर्षक ज्यों का त्यों चिपकाएँ

मैनुअल प्रविष्टि

एक बार चलाएँ: संग्रह → डुप्लिकेट हटाना → AI चयन → आधिकारिक मूल से मिलान → प्रकाशन → सूचना।

संग्रह पाइपलाइन

स्रोत

केवल वे स्रोत जोड़ें जिनके पास फ़ीड है और जिनकी robots.txt अनुमति देती है।

शिक्षा समाचार संचालन

दिन/सप्ताह/माह/कस्टम अवधि में मेरा DB पंजीकरण रुझान देखें।

मेरा DB रुझान

Legacy shows historical exam analysis usage. V2 combines measured tokens, cost, agents, and errors from generation, modifications, and retries for each history. Earlier calls are not backfilled.

View review usage trends by day/week/month/custom period.

Review Usage

View item review and shortcut usage trend over day/week/month/custom range.

Review/Shortcut Trend

Combine segmentation, child video generation, and retry tokens, LLM/TTS calls, API cost, and errors per original request. API cost covers metered calls; rendering and storage costs are excluded.

Legacy shows historical video generation requests and completed videos. V2 shows newly measured API usage per history. Earlier calls are not backfilled.

Completed videos and original requests grouped by request time. Child histories do not duplicate the request count.

Video generation

नाम के अनुसार

View syntactic analysis usage trend over day/week/month/custom range.

Syntactic Analysis Trend

Admin-only Claude document conversion process

Read the whole page, divide questions, exclude doodles and redraw figures as SVG.

Document OCR

Convert the generated SVG into a GeoGebra file.

SVG to GeoGebra (optional)

Create a solution and answer for each question, plus a solution SVG if needed.

Generate solutions (optional)

Tag curriculum, format and concepts; save question number and source in the private bank.

Tag and save each question

Document conversion process Claude 261020

The run log shows LLM calls and tokens by History ID. Its cost total includes only priced models; currently unpriced calls such as Gemini Nano Banana 2.1 image generation need a separate estimate.

Cost per run

Document conversion flow and stage models as of October 20, 2026

OCR and problem tagging may use GPT-5.5 on the final retry after Gemini failures. Figure detection or OCR may use GPT-6.1 Sol on the final retry after a Gemini 503 error. Retry calls also add cost.

Retries and fallback models

Standard conversion connects figure references by detection_id and marks problem boundaries with problem-break. Solution mode maps figures to problem crops by geometry.

Linking figures to problems

These calls run when enabled and a target figure exists. GeoGebra generation also requires USE_AUTOMATIC_GGB_GENERATION on the server.

Optional figure processing

Problems are split into crops, tagged, OCRed, and solved individually. Successful problems are stored separately in problem_banks.

Generated solution mode

Document type

Identify candidates for SVG and GeoGebra conversion.

Figure classification

Find figure regions and detection IDs in each source image.

Figure detection

Refine OCR with figure crops when figures exist.

Figure-aware OCR refinement

Convert SVG when both the user option and server setting are enabled.

GeoGebra conversion

When enabled, remove handwriting or doodles from detected figures.

Handwriting removal

Extract text, formulas, problem boundaries, and figure references.

Initial OCR

Create per-problem crops, including problems spanning pages.

Problem segmentation

Per-problem solution

Extract problem text and tags from each crop.

Per-problem tagging and OCR

Reconstruct selected figures as vector SVG.

SVG reconstruction

Each PDF page or uploaded image is processed as a source. Results are stored by source in typing_history; this path does not create one database record per problem.

Standard conversion

문서변환 프로세스 261020

Inspect each conversion’s operator, results, tokens, API cost, and errors.

View existing document conversion usage and request counts over time. Legacy and V2 are different views.

एक या अधिक उपयोगकर्ताओं के लिए जनरेशन/रिव्यू/मेरा DB रुझानों की तुलना करें।

User Statistics

क्रेडिट गतिविधि

Browse paginated users, grant credits, and manage per-user feature restrictions.

Add custom feature

अनुमत अतिरिक्त सुविधाएँ

Deduct User Credits

Grant User Credits

Change User Feature Restrictions

Change User Membership

सदस्यता इतिहास

All users

Users

User usage summary

View lecture video analysis usage trends by day/week/month/custom range.

Lecture Video Analysis Trend

View English vocabulary builder usage trends by day/week/month/custom range.

Vocab Builder Trend

View educational webtoon usage trend over day/week/month/custom range.

Edu Webtoon Trend

Gemini 3.8 Flash plans SVG and GGB corrections; gpt-image-2.5-flare draws the corrected figures. GGB corrections reference the previous SVG correction plan and image. Figures are stored as images, without individually editable points or lines.

Option 2-1 · Gemini + GPT Image 2.5 Flare

Highest difficulty design, independent review and accurate figures · isolated prompts

Advanced: import killer configuration

Killer option

Keep the original image and OCR; skip original SVG reconstruction and cached SVG reuse. Generate and validate the transformed figure with the same option 1-1 settings.

Process argon1014

Previous record: QuestiGeo 1014_1023

Classify the selected crop as geometry, algebraic, physics, or other and cache the result. Classification no longer shows a warning.

Classify before upload

Save each figure crop. Show the figure count multiplied by 500 credits and start processing only after the user agrees to the deduction.

Crop each figure and confirm 500 credits

Convert SVG1 to GeoGebra XML and GGB1, and show GGB1 as soon as it is ready.

SVG1 to GGB1

Load GGB1 and inspect its quality. Create GGB2 and replace the active GGB only when the corrected result is selected; retain GGB1 in history.

Load and review GGB; optionally create GGB2

Store the original image's problem OCR results in a separate JSON artifact.

Save problem OCR separately

Save SVG and GGB candidates with validation history, then settle the credit reservation for completed figures.