Statutory Challan
Reconcile TDS challans (Form 26AS) against deduction records
What this pattern solves
Every TDS deducted must be deposited by the deductor and reflected in the payee's Form 26AS on TRACES. But what appears in 26AS frequently does not match what the deductor's system records — wrong assessment year, wrong section, duplicate challan, or challan not deposited. The Statutory Challan pattern reconciles your TDS deduction register against 26AS data, identifying every mismatch before you file your ITR or TDS return.
Use this pattern when:
- You want to reconcile Form 26AS against your books before ITR filing
- You are a TDS deductor and need to verify challan deposits against deduction records
- You suspect errors in 26AS (wrong section, wrong AY, missing entries)
- You receive TDS deduction certificates (Form 16A) and want to verify them against 26AS
- You prepare quarterly TDS returns (Form 26Q, 27Q)
How it works in TransactIG
Ingest 26AS and deduction register
TransactIG ingests Form 26AS data (from TRACES export) and your TDS deduction register (from Tally, SAP, or manual Excel). Both sources are normalised to a common format.
Match challan by reference
Each 26AS entry is matched against the deduction register by challan serial number, BSR code, and deposit date. Matched items are cleared; unmatched items are escalated.
Classify mismatches
Unmatched items are classified by mismatch type: wrong section, wrong assessment year, challan not deposited, duplicate challan, or amount discrepancy.
Matching rules
Variance taxonomy
Frequently asked questions
Does TransactIG connect directly to TRACES?
TransactIG ingests TRACES exports (Form 26AS in text or Excel format). Direct TRACES API integration is on the roadmap.
Can TransactIG help us prepare Form 26Q before filing?
TransactIG reconciles the deduction register, flags mismatches, and produces a validated list of challans and deductees for Form 26Q preparation.
See the Statutory Challan pattern in action
Terra Insight will run a live TransactIG demo using this matching pattern on data from your industry vertical.