The Embeddable UI allows platforms to generate a unique embeddable link for a pre-configured user interface. This UI enables users to upload handwritten answer sheets, view model answers, and receive detailed evaluations. The API simplifies the integration process, making it easy for platforms to offer this functionality as part of their workflows.
Use this file to discover all available pages before exploring further.
Overview
Key Features
Benefits for Platform Integration
Next Steps
The Embeddable UI API enables educational platforms to offer a plug-and-play solution for evaluating handwritten answer sheets. This intuitive interface allows users to:
Upload handwritten answer sheets (as PDFs or JPEGs).
View model answers for comparison.
Receive detailed evaluations with marks, feedback, and suggestions for improvement.
The Embeddable UI can be seamlessly embedded into any platform, such as Learning Management Systems (LMS), tutoring applications, or e-learning portals, providing an enhanced user experience for mock tests and self-assessments.
The interface is designed with a step-by-step workflow:
1
Step 1:
Users can upload handwritten answer sheets in either PDF, JPEG or public PDF link format, ensuring flexibility and ease of use. Multiple JPEG uploads are supported for multi-page documents.
2
Step 2:
Post-upload, users are presented with the model answer sheets, allowing them to compare their responses and understand the expected answers.
3
Step 3:
The system evaluates the uploaded answer sheets against the model answers, providing:
Marks allocation for each question.
Detailed feedback to highlight areas of improvement.
Scope for improvement suggestions tailored to individual performance.
For E-learning Platforms:
Enable students to take mock tests and instantly evaluate their performance.
Provide interactive feedback to enhance learning outcomes.
For School LMS/ERP Providers:
Facilitate automated evaluation workflows for teachers.
Reduce manual effort in checking and scoring exams.
For Tutoring Platforms:
Offer students the ability to self-evaluate and identify areas for improvement.
Create a seamless learning experience with instant insights and personalized feedback.
Example Use Cases
Mock Test Practice
Students upload their mock test answer sheets, compare them with model answers, and receive detailed feedback.
Self-assessment Tool
E-learning platforms allow students to evaluate their progress on specific topics or chapters.
Automated Exam Evaluation
Schools and colleges automate the process of checking handwritten answer sheets.
Parental Insights
Parents can view their child’s performance and feedback directly through the platform.
1.Get API Access: Contact our support team to obtain your API key.2.Embed the UI: Use the API to generate embeddable links and integrate them into your platform.3.Enhance User Experience: Customize the embedded UI to match your platform’s branding and workflow.For more information or technical assistance, visit our Developer Portal
How do we integrate the Evaluation Layer Embeddable UI—iframe vs secure link—and how is access controlled?
You can embed the Evaluation Layer via a simple iframe or open it as a secure link, using token-based authentication to gate access. The UI is fully white‑label, so you control the visual layer while CrazyGoldFish handles evaluation, feedback, and storage behind the scenes—no AI team required.
What multimodal inputs does the embeddable UI accept for subjective evaluation?
The embeddable UI supports text, handwriting scans, diagrams, audio, and video for truly multimodal assessments. Pair submissions with rubrics and/or model answers to drive consistent, explainable scoring and targeted feedback.
Does the embeddable UI support standardized IELTS/TOEFL evaluation flows out of the box?
Yes. The single‑CTA embeddable UI can run standardized IELTS/TOEFL-style evaluations with rubric‑based scoring, instant feedback, and audit trails—delivering institution‑ready outputs without custom build.
What results can we retrieve after an embeddable evaluation session?
Use the Final Results API to fetch exam‑level scores, section‑wise summaries, model answers, and step‑wise marking, along with teacher feedback fields (e.g., isApproved). Outputs are available as structured JSON and exportable artifacts (e.g., PDF/CSV) for LMS/ERP dashboards.
How are human‑in‑the‑loop review, approvals, and rechecks handled in the embeddable flow?
Human‑in‑the‑loop is built in: educators can approve, adjust, or recheck results with full audit logs and version history. This safeguards quality on subjective tasks while preserving traceability for moderation and appeals.
Can we brand the embeddable experience to match our product’s look and feel?
Yes. The UI is white‑label and supports branding controls like colors and fonts, so the experience feels native while leveraging CrazyGoldFish’s evaluation engine.
Is the embeddable evaluation flow aligned with CBSE/ICSE curricula and GDPR requirements?
Yes—workflows, rubrics, and reporting are CBSE/ICSE/GDPR aligned, with role‑based access and audit‑ready logs. This lets you deploy standardized, compliant evaluations across regions while maintaining privacy‑first operations.
What accuracy should we expect from embeddable evaluations, and how do rubrics/model answers affect it?
In practice, teams target up to 95% accuracy by pairing rubric‑aware scoring with model answers for structured tasks. Human‑in‑the‑loop checkpoints handle edge cases, keeping outcomes trustworthy and explainable.
Can we start with the embeddable UI and then extend into REST/JSON APIs as we scale?
Absolutely. Many teams begin with the white‑label UI for fast deployment, then add REST/JSON APIs to ingest submissions, configure rubrics/model answers, and wire results into personalization and reporting pipelines.
What artifacts and analytics are produced from the embeddable evaluation flow?
You receive detailed feedback JSON, annotated copies, and section‑wise summaries that highlight strengths and improvements. These standardized outputs feed downstream into action plans, content generation, and exports for SIS/LMS/ERP analytics.
