TaxGPT vs Filed
“Compare features, pricing, and real user reviews to find the right tool for your firm.”
TaxGPT
AI-powered tax research and advisory assistant for CPAs
From $49/mo
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Filed
AI tax software that reads source documents and catches errors in returns
Paid
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Editorial analysis
TaxGPT and Filed solve different tax problems with AI. TaxGPT is a research and advisory tool that helps CPAs navigate tax code, rulings, and planning scenarios with AI-generated, citation-backed answers. It's the tool you reach for when a client asks a complex question and you need a well-sourced answer in minutes instead of hours. Filed focuses on the preparation side — it reads source documents like W-2s, 1099s, and bank statements, then cross-references them against completed returns to catch errors, missed deductions, and inconsistencies. Think of it as an AI-powered review layer that sits between your raw documents and your filed return. The use cases are complementary, not competitive. TaxGPT helps you decide what position to take; Filed helps you verify that the return reflects your position correctly. For a firm choosing just one, the decision depends on where your bottleneck is: if your team spends too much time on research and advisory prep, TaxGPT delivers immediate ROI. If errors and missed deductions during return preparation are your pain point, Filed's document-to-return verification is more valuable. Both charge paid subscriptions with free trials, so testing both against your workflow is straightforward.
Feature comparison
Pros & Cons
TaxGPT
Pros
- Tax-specific AI training delivers more accurate responses than general AI tools.
- Citations to IRC, regulations, and case law support defensible positions.
- Natural language interface eliminates the keyword-search limitations of traditional databases.
- Document upload enables context-specific analysis.
Cons
- Focused exclusively on US federal tax — no state or international coverage.
- AI responses still require professional verification before reliance.
- Newer platform building credibility against established research databases.
Filed
Pros
- AI identifies tax reliefs and credits that manual preparation often misses.
- Particularly strong at R&D tax credits and capital allowance optimization.
- Value-aligned pricing model based on savings identified.
- Provides systematic coverage that reduces reliance on individual preparer expertise.
Cons
- Custom pricing based on savings may create cost unpredictability.
- Limited value for straightforward returns with few optimization opportunities.
- Depends on the quality and completeness of underlying financial data.