AI requirement extraction
Extract requirements from legacy codebases, product documents, release notes, emails, PDFs, spreadsheets, and other unstructured inputs, then organize them into structured specifications.
SoftSpell is an AI SDLC platform for legacy modernization, combining requirement analysis, coding assistance, and test automation for development, engineering, product, and QA teams.
SoftSpell is an AI SDLC platform that combines ReqSpell, CodeSpell, and TestSpell to support requirement analysis, coding, and test automation in one workflow. The site positions it as a way to modernize legacy systems faster by reducing the manual work involved in documentation, development, and validation.
The product is aimed at engineering teams working on legacy-to-modern transformation as well as product and QA groups that need more structure across requirements, code, and tests. Its core purpose is to help teams move from fragmented inputs to organized specifications, generated code, and automated test coverage without restarting their existing process.
Extract requirements from legacy codebases, product documents, release notes, emails, PDFs, spreadsheets, and other unstructured inputs, then organize them into structured specifications.
Map features to requirements, requirements to user stories, and stories to test cases so teams can trace work across the SDLC.
Generate code, documentation, explanations, suggestions, and unit tests to help developers move from scaffolding to implementation faster.
Create design-to-code outputs from Figma and Design Studio workflows, including React, Angular, and React Native scaffolds, plus project jumpstart and infrastructure script generation.
Automate test script creation and validation workflows from requirements, OpenAPI specs, Swagger docs, or plain English instructions.
Offer role-based access, usage tracking, user management, and enterprise SSO options for teams that need controlled rollout and governance.
Use ReqSpell to pull requirements out of legacy code, documents, and spreadsheets, then turn those inputs into structured specifications for downstream work.
Use CodeSpell to generate code, documentation, explanations, and unit tests while developers handle the higher-level implementation decisions.
Use Design Studio to convert Figma designs into React, Angular, or React Native scaffolds, or to jump-start a new codebase with standardized project setup.
Use TestSpell to create test scripts and automate validation from requirements, API definitions, or plain-language instructions, reducing manual QA effort.
Use the enterprise controls to manage users, track usage, and apply access controls across teams or organizational units where governance matters.
SoftSpell combines three connected products: ReqSpell for requirement analysis, CodeSpell for AI coding assistance, and TestSpell for AI-powered test automation. The site presents it as an end-to-end SDLC platform rather than a single-point coding assistant.
The pricing page shows Starter, Growth, and Enterprise plans. Starter is listed at $12 per user per month billed annually, Growth at $20 per user per month billed annually, and Enterprise uses a sales process.
The site says SoftSpell integrates across major IDEs and supports seamless use across IDEs, languages, and deployment pipelines, but the source text does not list the full supported IDE set on the pages provided.
The home and product pages position SoftSpell for development, engineering, and QA workflows. ReqSpell focuses on requirements and reverse engineering, CodeSpell on coding assistance, and TestSpell on test automation.
The site emphasizes AI-assisted workflows and mentions a Responsible AI Policy, SSO in Enterprise, and security guardrails for generated code. The provided pages do not give full policy details, so deeper compliance or setup specifics should be verified directly with the vendor.