Published 2026-04-28 • Updated 2026-04-28
Wordle Solver & Helper – Solve Any Puzzle in Seconds
A Wordle helper is most powerful when used as a filter engine, not an answer button. Here is the correct workflow.
Wordle gives you six guesses to find a five-letter word using color feedback: green means correct letter in correct position, yellow means correct letter in wrong position, and gray means the letter is not in the word. A solver translates this feedback into filter constraints that collapse the candidate list.
The correct workflow starts after your first guess. Enter your guess result into the solver: known green letters go into starts-with or a pattern field, yellow letters go into contains, and gray letters go into excludes. Set both min and max length to five. Run the search and you will see the remaining candidates.
For your starting word, choose a word rich in common English letters. Words containing E, A, R, O, T, I, and S in various combinations eliminate the most possibilities per guess. The solver can help here too: search for five-letter words containing two or three of these high-frequency letters.
After each guess, update your constraints before checking the solver again. This step-by-step narrowing is where the tool earns its keep. By guess three or four, the candidate list is usually small enough that you can evaluate remaining options mentally.
The excludes filter is the most critical and most overlooked. Every gray letter from every previous guess should be in your excludes field. Omitting even one gray letter leaves a large unnecessary candidate pool.
Pattern matching is the strongest Wordle-specific feature. If you know position one is R, position three is unknown, and position five is E, enter R??_E as a pattern (using ? for unknown positions). This is more precise than using starts-with and ends-with separately when you have non-contiguous known letters.
For hard mode Wordle, where you must use all revealed hints in subsequent guesses, the contains and pattern filters enforce this automatically when you update them correctly after each guess. The solver becomes particularly valuable in hard mode where bad guesses can leave you trapped.
The goal is not to have the solver pick every answer for you but to use it as a constraint engine that eliminates impossible words. Making the final choice from a short list of two or three candidates is still a satisfying puzzle decision.